Machine Learning Metrics Analyser
Calculates and analyzes common performance metrics for machine learning models, helping you evaluate model quality and generalization.
Features
- Classification Metrics: Accuracy, Precision, Recall, F1-Score
- Regression Metrics: RMSE, MAE, R-Squared
- Confusion Matrix: Visualize model performance on individual classes
Pricing
- Price: 0.001 USDT per API call
- Payment: Integrated via SkillPay.me
Use Cases
- Evaluating model performance
- Comparing different algorithms
- Monitoring model drift
Example Input
{
"y_true": [1, 0, 1, 1],
"y_pred": [1, 0, 0, 1]
}
Example Output
{
"success": true,
"accuracy": 0.75,
"f1_score": 0.8,
"message": "Performance metrics calculated successfully."
}
Integration
This skill is integrated with SkillPay.me for automatic micropayments. Each call costs 0.001 USDT.
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