- What I did
Created .analyze() function to generate numeric and graphic representations of model performance -- creates ROC curves and confusion matrices for classification models, reports MSE and MAE for regression models
- How I did it
Used Sklearn Metrics
- How to verify it
Test with supported models: regression, k_means, classification_ann, decision_tree, svm, nearest_neighbor
This pull request adds a new feature to Libra. @Palashio
name: Model Analysis labels: feature
This pull request closes #123 , closes #99 .
- What I did Created .analyze() function to generate numeric and graphic representations of model performance -- creates ROC curves and confusion matrices for classification models, reports MSE and MAE for regression models - How I did it Used Sklearn Metrics - How to verify it Test with supported models: regression, k_means, classification_ann, decision_tree, svm, nearest_neighbor This pull request adds a new feature to Libra. @Palashio