CACP is made for comparing newly developed classification algorithms (both traditional and incremental) in Python with other commonly used classifiers to evaluate classification performance, ...

This project aims at implementing different machine learning classification algorithms on a selected dataset and analyzing the results in terms of comparison among the performance of those algorithms.

In this paper we tackle a classification problem using 4 algorithms: C4.5, JRip, k-NN, SVM Linear. Experiments were conducted using the Divorce dataset, consisting of 170 instances, 54 features, and 2 ...

As the most widely known data mining algorithm, classification algorithms have attracted wide attention. K-Nearest Neighbor (KNN) algorithm and decision tree algorithm are the two widely known ...

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a way that mirrors the periodic table of elements. This new “periodic ...