Machine Learning, Single Layer Perceptron, Neural Networks, Matlab.
gradients and learning rate. Model evaluation After training the single-layer perceptron, we can evaluate its performance on a test dataset by computing various metrics, such as accuracy, precision, recall, and F1-score. To make predictions, we apply the trained model to the test dataset, calculate