This is an implementation of a full machine learning classifier based on decision trees (in python using Jupyter notebook). It uses the dataset Mushroom Data Set to train and evaluate the classifier.

Learn the most important skills for developing a decision tree algorithm in AI, from data preprocessing to pruning and visualization. Improve your algorithm's accuracy, efficiency, and ...

This is an implementation of a full machine learning classifier based on decision trees (in python using Jupyter notebook). It uses the dataset Mushroom Data Set to train and evaluate the classifier.

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...