Man pages for Metrics
Evaluation Metrics for Machine Learning
| accuracy | Accuracy |
| ae | Absolute Error |
| ape | Absolute Percent Error |
| apk | Average Precision at k |
| auc | Area under the ROC curve (AUC) |
| bias | Bias |
| ce | Classification Error |
| f1 | F1 Score |
| fbeta_score | F-beta Score |
| ll | Log Loss |
| logLoss | Mean Log Loss |
| mae | Mean Absolute Error |
| mape | Mean Absolute Percent Error |
| mapk | Mean Average Precision at k |
| mase | Mean Absolute Scaled Error |
| mdae | Median Absolute Error |
| MeanQuadraticWeightedKappa | Mean Quadratic Weighted Kappa |
| mse | Mean Squared Error |
| msle | Mean Squared Log Error |
| params_binary | Inherit Documentation for Binary Classification Metrics |
| params_classification | Inherit Documentation for Classification Metrics |
| params_regression | Inherit Documentation for Regression Metrics |
| percent_bias | Percent Bias |
| precision | Precision |
| rae | Relative Absolute Error |
| recall | Recall |
| rmse | Root Mean Squared Error |
| rmsle | Root Mean Squared Log Error |
| rrse | Root Relative Squared Error |
| rse | Relative Squared Error |
| ScoreQuadraticWeightedKappa | Quadratic Weighted Kappa |
| se | Squared Error |
| sle | Squared Log Error |
| smape | Symmetric Mean Absolute Percentage Error |
| sse | Sum of Squared Errors |
