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classification-accuracy

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

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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.

machine-learning matlab cross-validation data-visualization mse neural-networks logistic-regression perceptron decision-boundaries binary-classification adaline iris-dataset classification-accuracy
  • Updated Apr 15, 2025
  • MATLAB

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