Automatically selects the most relevant dataset features using statistical tests, recursive elimination, and correlation analysis to improve model performance.
Automatically identifies and selects the most relevant features in a dataset to reduce model complexity and improve performance.
{
"dataset": "https://example.com/features.csv",
"num_features": 5
}
{
"success": true,
"selected_features": ["feature_1", "feature_4", "feature_7", "feature_9", "feature_12"],
"message": "Top 5 most important features identified."
}
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ZIP package — ready to use