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200
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 30.17, A3: 0.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 32.0, A14: 541.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 30.17, A3: 0.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 32.0, A14: 541.0.
|
201
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.0, A3: 11.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 17.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1209.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 25.0, A3: 11.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 17.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1209.0.
|
202
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 23.08, A3: 11.5, A4: 2.0, A5: 9.0, A6: 8.0, A7: 2.125, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 285.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 23.08, A3: 11.5, A4: 2.0, A5: 9.0, A6: 8.0, A7: 2.125, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 285.0.
|
203
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 18.25, A3: 10.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 18.25, A3: 10.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2.0.
|
204
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 28.5, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 167.0, A14: 501.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 28.5, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 167.0, A14: 501.0.
|
205
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 65.42, A3: 11.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 22.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 65.42, A3: 11.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 22.0, A14: 1.0.
|
206
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 36.08, A3: 2.54, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 36.08, A3: 2.54, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
207
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 21.25, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 150.0, A14: 9.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 21.25, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 150.0, A14: 9.0.
|
208
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 31.57, A3: 0.5, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 320.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 31.57, A3: 0.5, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 320.0, A14: 1.0.
|
209
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 18.25, A3: 0.165, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 18.25, A3: 0.165, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0.
|
210
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.08, A3: 2.335, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 22.08, A3: 2.335, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0.
|
211
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 22.42, A3: 11.25, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 322.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 22.42, A3: 11.25, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 322.0.
|
212
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.67, A3: 1.585, A4: 1.0, A5: 9.0, A6: 4.0, A7: 3.085, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 22.67, A3: 1.585, A4: 1.0, A5: 9.0, A6: 4.0, A7: 3.085, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
|
213
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 25.0, A3: 11.0, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 25.0, A3: 11.0, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
214
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 23.08, A3: 2.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4209.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 23.08, A3: 2.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4209.0.
|
215
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 39.83, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 288.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 39.83, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 288.0, A14: 1.0.
|
216
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.0, A3: 4.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 34.0, A3: 4.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 1.0.
|
217
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 29.58, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 330.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 29.58, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 330.0, A14: 1.0.
|
218
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 40.58, A3: 5.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3066.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 40.58, A3: 5.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3066.0.
|
219
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 20.5, A3: 10.0, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 40.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 20.5, A3: 10.0, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 40.0, A14: 1.0.
|
220
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 23.0, A3: 11.75, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 552.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 23.0, A3: 11.75, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 552.0.
|
221
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 42.75, A3: 4.085, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 108.0, A14: 101.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 42.75, A3: 4.085, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 108.0, A14: 101.0.
|
222
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 35.17, A3: 4.5, A4: 2.0, A5: 14.0, A6: 8.0, A7: 5.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 711.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 35.17, A3: 4.5, A4: 2.0, A5: 14.0, A6: 8.0, A7: 5.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 711.0, A14: 1.0.
|
223
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 37.33, A3: 6.5, A4: 2.0, A5: 7.0, A6: 8.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 93.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 37.33, A3: 6.5, A4: 2.0, A5: 7.0, A6: 8.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 93.0, A14: 1.0.
|
224
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 28.58, A3: 3.54, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 171.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 28.58, A3: 3.54, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 171.0, A14: 1.0.
|
225
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 21.25, A3: 2.335, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 21.25, A3: 2.335, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0.
|
226
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 21.17, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 21.17, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
227
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 39.17, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 186.0, A14: 4701.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 39.17, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 186.0, A14: 4701.0.
|
228
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 26.83, A3: 0.54, A4: 2.0, A5: 4.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 26.83, A3: 0.54, A4: 2.0, A5: 4.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
229
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 40.58, A3: 1.5, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 300.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 40.58, A3: 1.5, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 300.0, A14: 1.0.
|
230
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 52.17, A3: 0.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 52.17, A3: 0.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
231
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 15.17, A3: 7.0, A4: 2.0, A5: 10.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 600.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 15.17, A3: 7.0, A4: 2.0, A5: 10.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 600.0, A14: 1.0.
|
232
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 48.17, A3: 7.625, A4: 2.0, A5: 9.0, A6: 8.0, A7: 15.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 791.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 48.17, A3: 7.625, A4: 2.0, A5: 9.0, A6: 8.0, A7: 15.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 791.0.
|
233
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 57.42, A3: 8.5, A4: 2.0, A5: 10.0, A6: 8.0, A7: 7.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 57.42, A3: 8.5, A4: 2.0, A5: 10.0, A6: 8.0, A7: 7.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
234
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.17, A3: 12.125, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.335, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 174.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 22.17, A3: 12.125, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.335, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 174.0.
|
235
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.42, A3: 2.165, A4: 1.0, A5: 4.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 32.42, A3: 2.165, A4: 1.0, A5: 4.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
236
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 29.92, A3: 1.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 4.335, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 201.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 29.92, A3: 1.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 4.335, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 201.0.
|
237
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.92, A3: 2.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 239.0, A14: 201.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 34.92, A3: 2.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 239.0, A14: 201.0.
|
238
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.08, A3: 6.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 443.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 34.08, A3: 6.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 443.0, A14: 1.0.
|
239
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 43.25, A3: 25.21, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 760.0, A14: 91.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 43.25, A3: 25.21, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 760.0, A14: 91.0.
|
240
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 27.25, A3: 0.29, A4: 2.0, A5: 7.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 272.0, A14: 109.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 27.25, A3: 0.29, A4: 2.0, A5: 7.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 272.0, A14: 109.0.
|
241
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 23.33, A3: 11.625, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 301.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 23.33, A3: 11.625, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 301.0.
|
242
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 32.17, A3: 1.46, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2080.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 32.17, A3: 1.46, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2080.0.
|
243
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 18.83, A3: 3.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 18.83, A3: 3.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 2.0.
|
244
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 21.5, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 69.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 21.5, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 69.0.
|
245
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 21.08, A3: 5.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 21.08, A3: 5.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
246
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 41.0, A3: 2.04, A4: 1.0, A5: 11.0, A6: 8.0, A7: 0.125, A8: 1.0, A9: 1.0, A10: 23.0, A11: 1.0, A12: 2.0, A13: 455.0, A14: 1237.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 41.0, A3: 2.04, A4: 1.0, A5: 11.0, A6: 8.0, A7: 0.125, A8: 1.0, A9: 1.0, A10: 23.0, A11: 1.0, A12: 2.0, A13: 455.0, A14: 1237.0.
|
247
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 42.0, A3: 9.79, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.96, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 42.0, A3: 9.79, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.96, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
248
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 31.25, A3: 2.835, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 176.0, A14: 147.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 31.25, A3: 2.835, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 176.0, A14: 147.0.
|
249
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 36.33, A3: 2.125, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 50.0, A14: 1188.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 36.33, A3: 2.125, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 50.0, A14: 1188.0.
|
250
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 20.0, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 5.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 20.0, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 5.0.
|
251
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 52.5, A3: 6.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 6.29, A8: 1.0, A9: 1.0, A10: 15.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 11203.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 52.5, A3: 6.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 6.29, A8: 1.0, A9: 1.0, A10: 15.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 11203.0.
|
252
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 44.33, A3: 0.5, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 44.33, A3: 0.5, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0.
|
253
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.25, A3: 14.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 32.25, A3: 14.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 2.0.
|
254
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.5, A3: 11.5, A4: 1.0, A5: 7.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 4001.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 22.5, A3: 11.5, A4: 1.0, A5: 7.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 4001.0.
|
255
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.83, A3: 4.0, A4: 1.0, A5: 3.0, A6: 8.0, A7: 5.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 75.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 27.83, A3: 4.0, A4: 1.0, A5: 3.0, A6: 8.0, A7: 5.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 75.0, A14: 1.0.
|
256
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 38.58, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 13.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 980.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 38.58, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 13.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 980.0, A14: 1.0.
|
257
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 25.25, A3: 13.5, A4: 1.0, A5: 1.0, A6: 1.0, A7: 2.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 25.25, A3: 13.5, A4: 1.0, A5: 1.0, A6: 1.0, A7: 2.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 2.0.
|
258
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 26.0, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 26.0, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0.
|
259
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 34.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0.
|
260
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 22.92, A3: 11.585, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1350.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 22.92, A3: 11.585, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1350.0.
|
261
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 64.08, A3: 20.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 17.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 64.08, A3: 20.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 17.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
262
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.75, A3: 1.29, A4: 2.0, A5: 4.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 140.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 27.75, A3: 1.29, A4: 2.0, A5: 4.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 140.0, A14: 1.0.
|
263
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 34.83, A3: 1.25, A4: 1.0, A5: 3.0, A6: 8.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 34.83, A3: 1.25, A4: 1.0, A5: 3.0, A6: 8.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
264
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 49.0, A3: 1.5, A4: 2.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 28.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 49.0, A3: 1.5, A4: 2.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 28.0.
|
265
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 22.25, A3: 1.25, A4: 1.0, A5: 1.0, A6: 1.0, A7: 3.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 22.25, A3: 1.25, A4: 1.0, A5: 1.0, A6: 1.0, A7: 3.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 1.0.
|
266
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 48.08, A3: 6.04, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2691.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 48.08, A3: 6.04, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2691.0.
|
267
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 42.08, A3: 1.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 500.0, A14: 10001.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 42.08, A3: 1.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 500.0, A14: 10001.0.
|
268
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.75, A3: 2.5, A4: 2.0, A5: 13.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 348.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 34.75, A3: 2.5, A4: 2.0, A5: 13.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 348.0, A14: 1.0.
|
269
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 36.0, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 457.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 36.0, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 457.0.
|
270
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 26.67, A3: 2.71, A4: 1.0, A5: 13.0, A6: 4.0, A7: 5.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 211.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 26.67, A3: 2.71, A4: 1.0, A5: 13.0, A6: 4.0, A7: 5.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 211.0, A14: 1.0.
|
271
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 23.75, A3: 0.71, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 5.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 23.75, A3: 0.71, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 5.0.
|
272
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 63.33, A3: 0.54, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 63.33, A3: 0.54, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 1.0.
|
273
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.33, A3: 11.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 279.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 22.33, A3: 11.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 279.0.
|
274
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 17.92, A3: 10.21, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 51.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 17.92, A3: 10.21, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 51.0.
|
275
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 16.33, A3: 0.21, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 16.33, A3: 0.21, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 2.0.
|
276
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 52.5, A3: 7.0, A4: 2.0, A5: 6.0, A6: 8.0, A7: 3.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 52.5, A3: 7.0, A4: 2.0, A5: 6.0, A6: 8.0, A7: 3.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
277
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 47.17, A3: 5.835, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 465.0, A14: 151.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 47.17, A3: 5.835, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 465.0, A14: 151.0.
|
278
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 21.67, A3: 11.5, A4: 1.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 21.67, A3: 11.5, A4: 1.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
279
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 41.17, A3: 6.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 145.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 0.0, A2: 41.17, A3: 6.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 145.0, A14: 1.0.
|
280
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.58, A3: 0.335, A4: 2.0, A5: 4.0, A6: 8.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 25.58, A3: 0.335, A4: 2.0, A5: 4.0, A6: 8.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 1.0.
|
281
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 30.33, A3: 0.5, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 252.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 30.33, A3: 0.5, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 252.0, A14: 1.0.
|
282
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 35.25, A3: 3.165, A4: 2.0, A5: 14.0, A6: 8.0, A7: 3.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 680.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 35.25, A3: 3.165, A4: 2.0, A5: 14.0, A6: 8.0, A7: 3.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 680.0, A14: 1.0.
|
283
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 17.5, A3: 22.0, A4: 3.0, A5: 1.0, A6: 7.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 3.0, A13: 450.0, A14: 100001.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 17.5, A3: 22.0, A4: 3.0, A5: 1.0, A6: 7.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 3.0, A13: 450.0, A14: 100001.0.
|
284
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 48.5, A3: 4.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 225.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 48.5, A3: 4.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 225.0, A14: 1.0.
|
285
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 49.5, A3: 7.585, A4: 2.0, A5: 3.0, A6: 5.0, A7: 7.585, A8: 1.0, A9: 1.0, A10: 15.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 5001.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 49.5, A3: 7.585, A4: 2.0, A5: 3.0, A6: 5.0, A7: 7.585, A8: 1.0, A9: 1.0, A10: 15.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 5001.0.
|
286
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 41.92, A3: 0.42, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 949.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 41.92, A3: 0.42, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 949.0.
|
287
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 23.5, A3: 3.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 81.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 23.5, A3: 3.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 81.0.
|
288
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 40.92, A3: 0.835, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 130.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 40.92, A3: 0.835, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 130.0, A14: 2.0.
|
289
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 37.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 37.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0.
|
290
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 42.0, A3: 0.205, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 400.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 42.0, A3: 0.205, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 400.0, A14: 1.0.
|
291
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 20.0, A3: 7.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 20.0, A3: 7.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
292
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 19.67, A3: 10.0, A4: 1.0, A5: 4.0, A6: 8.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 19.67, A3: 10.0, A4: 1.0, A5: 4.0, A6: 8.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1.0.
|
293
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 26.17, A3: 12.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 18.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 26.17, A3: 12.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 18.0.
|
294
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 48.33, A3: 12.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 16.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 110.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0
|
The client has attributes: A1: 1.0, A2: 48.33, A3: 12.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 16.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 110.0, A14: 1.0.
|
295
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 43.17, A3: 5.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 141.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 43.17, A3: 5.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 141.0, A14: 1.0.
|
296
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 41.58, A3: 1.75, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.21, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 41.58, A3: 1.75, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.21, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
297
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 30.58, A3: 2.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 80.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 1.0, A2: 30.58, A3: 2.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 80.0, A14: 1.0.
|
298
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 29.58, A3: 1.75, A4: 1.0, A5: 4.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 29.58, A3: 1.75, A4: 1.0, A5: 4.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0.
|
299
|
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 26.58, A3: 2.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 61.0.
|
bad
|
[
"good",
"bad"
] | 1
|
The client has attributes: A1: 0.0, A2: 26.58, A3: 2.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 61.0.
|
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