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build_tcn_model(input_shape=(X_train.shape[1], X_train.shape[2])) # Fit the model to the training data model_tcn.fit(X_train, y_train_one_hot, epochs=20, batch_size=32, validation_split=0.2, verbose=1, class_weight=class_weights) Here’s a line-by-line explanation of the provided code, along with