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@@ -18,13 +18,14 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
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  ---
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- # 🌟 ML Predictor: Linear, Polynomial & KNN Regression
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  ### πŸ“Œ Overview
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  This web app allows users to **make predictions** using different Machine Learning models:
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  βœ… **Linear Regression** - Best for simple trends
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  βœ… **Polynomial Regression** - Captures non-linear relationships
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  βœ… **K-Nearest Neighbors (KNN)** - Uses nearest data points for predictions
 
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  πŸ’‘ **No installation required!** Simply enter values and get instant results.
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@@ -37,7 +38,7 @@ This web app allows users to **make predictions** using different Machine Learni
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  ## πŸ”§ **How to Use**
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  1. **Select a model** (Linear, Polynomial, Random Forests or KNN).
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- 2. **Enter feature values** (e.g., Feature 1 = `2015`, Feature 2 = `10.5`).
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  3. **Click Predict** to see the result.
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  4. **View the visualization** of the prediction.
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  ---
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+ # 🌟 ML Predictor: Linear, Polynomial, Random Forests & KNN Regression
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  ### πŸ“Œ Overview
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  This web app allows users to **make predictions** using different Machine Learning models:
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  βœ… **Linear Regression** - Best for simple trends
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  βœ… **Polynomial Regression** - Captures non-linear relationships
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  βœ… **K-Nearest Neighbors (KNN)** - Uses nearest data points for predictions
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+ βœ… **Random Forests** - Uses multiple decision trees to make predictions
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  πŸ’‘ **No installation required!** Simply enter values and get instant results.
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  ## πŸ”§ **How to Use**
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  1. **Select a model** (Linear, Polynomial, Random Forests or KNN).
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+ 2. **Upload the file** population_dataset.csv file
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  3. **Click Predict** to see the result.
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  4. **View the visualization** of the prediction.
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