<jupyter_start><jupyter_text>The validation loss is above the training loss at some points, which might suggest mild overfitting. This doesn't seem to cause any problems as the test loss does not begin to rise.<jupyter_code>pred_train = model.predict(x_train)
pred_val = model.predict(x_val)
pred_train = model.predict(x_train)
pred_val = model.predict(x_val)
plt.plot(y_train, pred_train, "bo", label="train")
plt.plot(y_val, pred_val, "ro", label="validation")
plt.legend()
plt.xlabel("True value")
plt.ylabel("Prediction");
#plt.savefig("boston_pred.pdf")<jupyter_output><empty_output>
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