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