i want to achieve the following machine learning algorithms: (1) ID3; (2) Adaboost on Tree Stumps; (3) Random Forest; (4) Naïve Bayes; (5) Bagging with naïve Bayes; (6) K-nearest neighbors (kNN) with two different distance functions.
1. Implement the six algorithms using Java.
2. Evaluate your implementation on the datasets in [login to view URL] using 10 times 5-fold cross-validation, and report the average accuracy and standard deviation.
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Hi Sir, I am Software Engineer with research in machine learning field. i have alot more to share kindly come to chat for detail conversation about your project. Regards Sibghat