Man pages for chuvanan/metrics
Metrics For Evaluating Machine Learning Models

acc	Accuracy
accuracy_ratio	Accuracy Ratio
classification_params	Classification Metrics Parameters
confusion_matrix	Confusion Matrix
fdr	False Discovery Rate
fnr	False Negative Rate
for	False Omission Rate
fpr	False Positive Rate
gscore	Fowlkes-Mallows Index
logloss	Negative log loss, also known as logarithmic loss or...
mae	Mean Absolute Error
mdae	Median Absolute Error
metrics-package	metrics: Metrics For Evaluating Machine Learning Models
mse	Mean Squared Error
msle	Mean Squared Log Error
mtr_auc_prc	Area Under Precision-Recall Curve
mtr_auc_roc	Area Under ROC
mtr_average_precision	Average Precision
mtr_balanced_accuracy	Balanced Accuracy
mtr_brier_score	Brier score
mtr_cohen_kappa	Cohen’s Kappa
mtr_detection_prevalence	Detection Prevalence
mtr_explained_variance	Explained Variance
mtr_f1score	F1 Score
mtr_fbeta_score	F-beta Score
mtr_ks_statistic	KS Statistic
mtr_markedness	Markedness
mtr_matthews_corr_coef	Matthews Correlation Coefficient
mtr_max_error	Max Error
mtr_misclassification_rate	Misclassification rate
mtr_optimal_cutoff	Classification Optimal Cutoff
mtr_prevalence	Prevalence
mtr_r2	R2 Score
mtr_root_mean_squared_error	Root Mean Squared Error Function
npv	Negative Predicted Value
ppv	Positive Predicted Value
regression_params	Regression Metrics Parameters
tnr	True Negative Rate
tpr	True Positive Rate
yindex	Informedness