🧪 Skills
Ml Feature Selector
Automatically selects the most relevant dataset features using statistical tests, recursive elimination, and correlation analysis to improve model performance.
v1.0.0
Description
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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