Details


Model Name:

Adaboost

Model Summary:

Adaboost is an ensemble learning method that combines multiple weak classifiers to create a strong classifier. It iteratively adjusts the weights of the weak classifiers to focus on difficult instances, improving overall accuracy. Adaboost is particularly effective in handling complex classification problems.

Model Metrics:
Precision: 84.47%
Accuracy: 91.07%
Recall: 88.81%
F1 Score: 86.59%
ROC AUC Score: 90.48%