object

# `adaptive_boosting_classifier`

Adaptive Boosting classifier using C4.5 decision trees as base learners. Implements the SAMME (Stagewise Additive Modeling using a Multi-class Exponential loss function) variant, which supports multi-class classification. Builds an ensemble of weighted decision trees where each subsequent tree focuses on the examples misclassified by previous trees.

Availability:
`logtalk_load(adaptive_boosting_classifier(loader))`
Author: Paulo Moura
Version: 2:0:0
Date: 2026-05-11
Compilation flags:
`static, context_switching_calls`
Imports:
`public` probabilistic_classifier_common
Uses:
c45_classifier
fast_random(Algorithm)
format
list
pairs
type
Remarks:
(none)
Inherited public predicates:
check_classifier/1 check_option/1 check_options/1 classifier_options/2 default_option/1 default_options/1 diagnostic/2 diagnostics/2 export_to_clauses/4 export_to_file/4 learn/2 learn/3 option/2 option/3 predict/3 predict_probabilities/3 print_classifier/1 valid_classifier/1 valid_option/1 valid_options/1

## Public predicates

(no local declarations; see entity ancestors if any)

## Protected predicates

(no local declarations; see entity ancestors if any)

## Private predicates

(no local declarations; see entity ancestors if any)

## Operators

(none)

See also

dataset_protocol, c45_classifier, isolation_forest_anomaly_detector, knn_classifier, naive_bayes_classifier, nearest_centroid_classifier, random_forest_classifier