- What are the metrics for decision tree?
- What are the four 4 common metrics for evaluating classifier performance?
What are the metrics for decision tree?
Performance metrics for decision tree models – Gini Index, Entropy, and Classification Error.
What are the four 4 common metrics for evaluating classifier performance?
Accuracy, confusion matrix, log-loss, and AUC-ROC are some of the most popular metrics. Precision-recall is a widely used metrics for classification problems.