Machine Learning, Data Science, Testing, Software Engineering.
= ClassPredictionError(model, classes=classes) visualizer.score(X_test, y_test) visualizer.show() Now that we have a fully trained and validated model and we understand the underlying data that we used to create the model, we can move forward with writing the code that we’ll use to make predictions