News

GitHub1y
A Python implementation of the Decision Tree Algorithm
This code is meant to foster an in-depth understanding of the Decision Tree Algorithm used in Machine Learning. No ML algorithms like Scikit-learn, PyTorch or TensorFlow has been used. This is ...
IEEE1y
Classification of Fire and Smoke Images using Decision Tree Algorithm in Comparison with Logistic Regression to Measure Accuracy, Precision, Recall, F-score
Abstract: The study's objective is to assess how well the decision tree algorithm ... carried out using Python's Sklearn machine learning package. Metrics like precision, recall, f score, and accuracy ...
Visual Studio Magazine2y
Binary Classification Using a scikit Decision Tree
There are several tools and code libraries that you can use to perform binary classification using a decision tree. The scikit-learn library (also called scikit or sklearn) is based on the Python ...
Analytics India Magazine3y
A Beginner’s Guide to Hoeffding Tree with Python Implementation
Some of the basic requirements to use the library are Python 3.5+, NumPy and Cython =< v0.5.0 As we can see that we have made a Hoeffding tree model and also we can see i8n the result that is pretty ...