Mastercard Interview Question | Binary Classification Model
Question
Explain what metrics we should use to evaluate a binary classification model?
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Machine Learning
55 years
3 Answers
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Great Grand Master 0
Answers ( 3 )
Some of the metrics used to evaluate binary classification model are:
Classification Accuracy
Logarithmic Loss
Confusion Matrix
Area under Curve
F1 Score
Mean Absolute Error
Mean Squared Error
The metrics we should use to evaluate a binary classification model are
Accuracy
Precision
Recall
F1 score
G1 score
Binary cross entropy loss
Classification accuracy
AUC-ROC Score
Precision
Recall
F1-Score
KS
Logloss