Decision tree performance metrics

1. What are the metrics for decision tree?
2. 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.