GitHub / tSopermon / ML-Algorithms-custom-implementations-aivc-project

This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary classification tasks using linearly, non-linearly, and marginally separable datasets from the Iris dataset. It includes MATLAB implementations, 10-fold cross-validation, and visualizations of decision boundaries and MSE histories.

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Topics: adaline, binary-classification, classification-accuracy, cross-validation, data-visualization, decision-boundaries, iris-dataset, logistic-regression, machine-learning, matlab, mse, neural-networks, perceptron

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