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分类: 数据与分析无需 API Key

Ml Feature Selector

利用统计检验、递归消除和相关分析自动选取最相关特征,以提升模型性能。

person作者: mosonchan2023hubclawhub

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.