Implementing and Evaluating Eight Machine Learning Algorithms on the Iris Dataset with 5-Fold Cross-Validation
This document details the implementation and evaluation of eight machine learning algorithms on the classic Iris dataset using 5-fold cross-validation. The algorithms include: Logistic Regression, C4.5 Decision Tree (with pre- and post-pruning), SMO-based SVM, BP Neural Network, Naive Bayes, K-means Clustering, and Random Forest.
Experiment 1: ...
Posted on Thu, 07 May 2026 09:29:13 +0000 by robs99
Implementing Decision Tree Classification on MNIST Dataset with Python
Principle Overview
A decsiion tree classifier is a supervised learning algorithm that constructs a tree-like model of decisions based on feature values. The algorithm works by recursively partitioning the dataset into subsets based on the most significant feature that best separates different class labels. Each internal node represents a test o ...
Posted on Thu, 07 May 2026 03:54:56 +0000 by pneudralics