Skip to content

Ml Feature Selector

Automatically selects the most relevant dataset features using statistical tests, recursive elimination, and correlation analysis to improve model performance.

90 downloads
Free
Reviewed

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.

Download

ZIP package — ready to use

Skill Info

Creator
mosonchan2023
Downloads
90
Published
Mar 15, 2026
Updated
Mar 16, 2026