Machine Learning Feature Selector
Automatically identifies and selects the most relevant features in a dataset to reduce model complexity and improve performance.
Features
- Univariate Selection: Select features based on statistical tests
- Recursive Feature Elimination (RFE): Rank features by importance
- Correlation Analysis: Identify and remove redundant features
Pricing
- Price: 0.001 USDT per API call
- Payment: Integrated via SkillPay.me
Use Cases
- Feature engineering
- Reducing model training time
- Enhancing model interpretability
Example Input
{
"dataset": "https://example.com/features.csv",
"num_features": 5
}
Example Output
{
"success": true,
"selected_features": ["feature_1", "feature_4", "feature_7", "feature_9", "feature_12"],
"message": "Top 5 most important features identified."
}
Integration
This skill is integrated with SkillPay.me for automatic micropayments. Each call costs 0.001 USDT.
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