Algorithm flow The algorithm starts with reading the data and storing them in a dictionary. The fit () function is here to determine all possible values for each feature in a vector and store all ...

This project implements and compares two fundamental machine learning algorithms: a single-layer neural network using gradient descent and the ID3 algorithm for decision trees. The objective is to ...

ID3 is a well-known algorithm which is used in the classification task of the decision tree learning. Although a lot of research provides improvements on the traditional ID3 algorithm with various ...

When very large data sets are present, data mining algorithms (here considering only ID3 and Naïve Bayesian algorithms) are used. ID3 outputs the result in the form of decision tree which can be ...