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Heart Disease Classification Using Neural Network in ML
For the model, I built a Feedforward Neural Network (MLP) designed for binary classification. Input Layer: It has 13 neurons, one for each feature. Hidden Layers: I used two hidden layers. The first has 16 neurons and the second has 8 neurons. Both use the ReLU activation function to learn complex patterns. Output Layer: The final layer has 1 ...
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