Model Performance Callibration

Confusion Matrix

Confusion matrix for binary classification
Confusion Matrix for multiclass classification

Sample

Percision, Recall and F1-Score

Precision
Recall

F1-Score

F1 Score

LogLoss

Logloss example

Receiver Operating Characteristics==> Area Under the Curve(AUC)

Table with tau = 0.93
Table with tau=0.90
ROC-cur
AUC less than 0.5
R-square calculation
R-square is not outlier friendly

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