class contains the result of confusion matrix
class contains the result of confusion matrix
predicted class value
real class value
number of cases
calculates AUC value (area under ROC curve)
calculates AUC value (area under ROC curve)
AUC
stores unique sorted values of predicted labels
Calculates confusion matrix for different levels of threshold
Calculates Precision metrics for different levels of threshold
Calculates Precision metrics for different levels of threshold
collection of floats with pair: (threshold, precision)
NDArray of predicted lables
NDArray of real labels
Calculates Recall metrics for different levels of threshold
Calculates Recall metrics for different levels of threshold
collection of floats with pair: (threshold, recall)
Computes the ROC curve
Computes the ROC curve
collection of pairs (fpr, tpr)
Calculates binary classification metrics based on a comparison of real and predicted labels