Man pages for paulhendricks/scorer
Quickly Score Models in Data Science and Machine Learning
| absolute_error | Calculate absolute error regression loss. |
| absolute_percent_error | Calculate absolute percent error regression loss. |
| accuracy | Calculate the accuracy score. |
| accuracy_score | Calculate the accuracy score. |
| check_args | Check the arguments. |
| condition_negative | Calculate the number of the condition negatives. |
| condition_positive | Calculate the number of the condition positives. |
| diagnostic_odds_ratio | Calculate the diagnostic odds ratio. |
| explained_variance_score | Calculate explained variance regression score function. |
| f1_score | Calculate the F1 score. |
| false_discovery_rate | Calculate the false discovery rate. |
| false_negative | Calculate the number of the false negatives. |
| false_negative_rate | Calculate the false negative rate. |
| false_omission_rate | Calculate the false omission rate. |
| false_positive | Calculate the number of the false positives. |
| false_positive_rate | Calculate the false positive rate. |
| log_error | Calculate log error regression loss. |
| matthews_corrcoef | Calculate Matthew's correlation coefficient. |
| mean_absolute_error | Calculate mean absolute error regression loss. |
| mean_absolute_percent_error | Calculate mean absolute percent error regression loss. |
| mean_absolute_scaled_error | Calculate mean absolute scaled error regression loss. |
| mean_error | Calculate mean error regression loss. |
| mean_percent_error | Calculate mean percent error regression loss. |
| mean_squared_error | Calculate mean squared error regression loss. |
| mean_squared_log_error | Calculate mean squared log error regression loss. |
| median_absolute_error | Calculate median absolute error regression loss. |
| median_absolute_percent_error | Calculate median absolute percent error regression loss. |
| median_percent_error | Calculate median percent error regression loss. |
| median_squared_error | Calculate median squared error regression loss. |
| median_squared_log_error | Calculate median squared log error regression loss. |
| negative_likelihood_ratio | Calculate the negative likelihood ratio. |
| negative_predictive_value | Calculate the negative predictive value. |
| percent_error | Calculate percent error regression loss. |
| positive_likelihood_ratio | Calculate the positive likelihood ratio. |
| positive_predictive_value | Calculate the positive predictive value. |
| precision | Calculate the precision. |
| predicted_condition_negative | Calculate the number of the predicted condition negatives. |
| predicted_condition_positive | Calculate the number of the predicted condition positives. |
| prevalence | Calculate the prevalance. |
| r2_score | Calculate R^2 (coefficient of determination) regression score... |
| recall | Calculate the true positive rate. |
| scorer | scorer: Quickly Score Models in Data Science and Machine... |
| sensitivity | Calculate the true positive rate. |
| specificity | Calculate the true negative rate. |
| squared_error | Calculate squared error regression loss. |
| squared_log_error | Calculate squared log_error regression loss. |
| symmetric_mean_absolute_percent_error | Calculate symmetric mean absolute percent error regression... |
| symmetric_median_absolute_percent_error | Calculate symmetric median absolute percent error regression... |
| total_population | Calculate the number of the total population. |
| total_variance_score | Calculate total variance regression score function. |
| true_negative | Calculate the number of the true negatives. |
| true_negative_rate | Calculate the true negative rate. |
| true_positive | Calculate the number of the true positives. |
| true_positive_rate | Calculate the true positive rate. |
| unexplained_variance_score | Calculate unexplained variance regression score function. |
