Elegantly Plot the Decision Boundary of a Classifier
Plotting the decision boundary of a classifier can reveal many crucial insights about its performance.
Here, region-shaded plots are often considered a suitable choice for visualization purposes. But, explicitly creating one can be extremely time-consuming and complicated.
Mlxtend condenses that to a simple one-liner in Python. Here, you can plot the decision boundary of a classifier with ease, by just providing it the model and the data.
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