Train a baseline Neural Network with sklearn

Use sklearn.neural_network.MLPClassifier on scaled data to predict the quality_binary target. Use default hidden layer sizes but set max_iter=500. Report accuracy, precision, and recall on the test set, and plot the training loss curve.

Start in the repository's Jupyter Notebook and locate the scaled data and quality_binary target used for model training. Train the requested MLPClassifier with max_iter=500, evaluate accuracy, precision, and recall on the test set, and confirm that the training loss curve is plotted.

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