App 13 – Python ML Sandbox | Al Khawarizmy Academy

📊 Dataset

Material family Dataset size: 120 materials

40300

Test split: 20%

10%40%

🔢 Features (NumPy/pandas)

⚙️ scikit-learn Model

Algorithm Scale features (StandardScaler) Cross-validation folds: 5

210

Random seed: 42

Training model…

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MAE

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RMSE

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R²

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CV MAE

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Features

Select options and click Run Pipeline

Predicted vs Actual (test set)

Residuals

Feature Importance

# Generated scikit-learn pipeline code will appear here after you click Run Pipeline

Python ML Sandbox — NumPy · pandas · scikit-learn