<jupyter_start><jupyter_text>MLP Classifier<jupyter_code>plt.contourf(xx, yy, model.predict(np.c_[xx.ravel(), yy.ravel()]).reshape(xx.shape), cmap=plt.cm.bone, alpha=0.8)
plt.scatter(df['petal length (cm)'].values, df['petal width (cm)'].values, c=D.target, cmap=plt.cm.coolwarm)
plt.show()<jupyter_output><empty_output><jupyter_text>Logistic Regression<jupyter_code>plt.contourf(xx, yy, linear_model.predict(np.c_[xx.ravel(), yy.ravel()]).reshape(xx.shape), cmap=plt.cm.bone, alpha=0.8)
plt.scatter(df['petal length (cm)'].values, df['petal width (cm)'].values, c=D.target, cmap=plt.cm.coolwarm)
plt.show()<jupyter_output><empty_output>
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