Metrics in Classification from Scratch
- type 1 error (false_positive)
- type 2 error (false_negative)
- sensitivity , recall , false positive rate
- specificity , false negative rate
- precision , positive predicted value
- accuracy
- f1score
Classfication Metrics from sklearn
- confusion_matrix
- f1_score
- average_precision_score
- import recall_score
- import accuracy_score
- import classification_report
https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc