Learning informed sampling distributions and information gains for efficient exploration planning.

Feature Selection for Credit Scoring using Genetic Algorithm Wrapper(Information Gain)

A repository containing the source code, datasets, and ranked features for the Nested Bigrams method proposed in a paper published in ICDMW. This method is designed for authorship attribution in source code to address cybersecurity issues.

Polycystic Ovary Syndrome (PCOS) is a widespread pathology that affects many aspects of women's health, with long-term consequences beyond the reproductive age. The wide variety of clinical referrals, as well as the lack of internationally accepted diagnostic procedures, have had a significant impact on making it difficult to determine the exact…

Implementing decision tree using ID3 algorithm based on Information Gain and using post pruning for improving accuracy

Applying different machine learning algorithms on PCGA Prostate Cancer Gene Dataset for Feature Selection, Dimensional Reduction and Classification and Regression

Experimental classification algorithms on german credit data implemented using scikit-learn library

Implementation of Decision tree learning algorithm with chi-square pruning

Design and Implementation of Random Forest algorithm from scratch to execute Pacman strategies and actions in a deterministic, fully observable Pacman Environment.

This is a Decision Tree implementation with Python which uses information gain to split attributes. It does not use any ML library.

decision trees made easy

A project of my course "Introduction to Pattern Recognition". Realize Decision Tree algorithm using PYTHON.

Information gain can be used to get information about the value of attributes regarding a conceived result.

Implementation of decision tree using information gain

Focused on math and applied the methods into programming.

In this repo, I implement a decision tree classifier from scratch using python and pandas. I use this decision tree to detect gender based on names. I use the first letter, first two letters, first three letters, last letter, last two letters, last three letters, etc. as features.

Greedy algorithm for classification tree

An innovative Python implementation of decision trees for machine learning, showcasing algorithmic learning from scratch with practical examples and a focus on AI principles.

Implemented Decision tree learning algorithm using ID3 with Information Gain Heuristic in Python and used Pandas for pre-processing data.