This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.
random-forest
data-analysis
logistic-regression
decision-trees
support-vector-machines
k-nearest-neighbors
spambase-dataset
backward-feature-elimination
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Updated
May 28, 2024 - HTML