Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction

Research article (SoutheastCon 2023, 2023) · cited 20× · AI/ML
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Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction

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Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-study-of-decision-tree-adaboost-random-forest-naive-bayes-knn-and-perceptron-for-heart-disease-prediction
MLA “Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-study-of-decision-tree-adaboost-random-forest-naive-bayes-knn-and-perceptron-for-heart-disease-prediction.
BibTeX @misc{4ortxyz_comparative-study-of-decision-tree-adaboost-random-forest-naive-bayes-knn-and-perceptron-for-heart-disease-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-study-of-decision-tree-adaboost-random-forest-naive-bayes-knn-and-perceptron-for-heart-disease-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction — https://4ort.xyz/entity/comparative-study-of-decision-tree-adaboost-random-forest-naive-bayes-knn-and-perceptron-for-heart-disease-prediction (retrieved 2026-05-24)

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