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Simplifying Machine Learning with PyCaret in Python

Solution Review: Make Predictions and Plot Model

Explore how to make predictions using a classification model in PyCaret, finalize the trained model, and visualize its decision boundaries through plotting, enhancing your hands-on skills in machine learning classification.

We'll cover the following...
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Python 3.5
# Make prediction from `classification_model` and assign result to `predictions` variable.
 predictions = predict_model(classification_model)
# Finalize the model and assign it to the final_model variable.
 final_model = finalize_model(classification_model)
# Plot the decision boundaries of the model
 plot_model(classification_model, 'boundary')
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