regularize的案例
如何處理 TensorFlow 模型中的過擬合？ ￥5
, verbose=0)
# Evaluate the model on testing data
loss_regularized, test_accuracy_regularized = model_regularized.evaluate(X_test_pca, y_test)
步驟 7：打印結果
該代碼打印了兩個模型的測試損失和準確性，從而可以直接比較每個模型在處理看不見的數據時的表現。
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