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Machine Learning Methods
Description
This template compares three machine learning classifiers, K-nearest neighbour, random trees, and neural networks, used to distinguish tumor cells from lymphocytes based on features like size, shape, darkness, and nuclear-to-cytoplasmic ratio. It shows K-nearest neighbour plotting cells on scatter graphs, a random trees decision tree splitting on darkness, shape, size, and N/C ratio with a voting step, and a neural network with input, hidden, and output layers producing weighted classification scores.
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