time the script

from sklearn.ensemble import RandomForestClassifier

from sklearn.naive_bayes import GaussianNB

from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis

from time import time 

h = .02  # step size in the mesh

start_time = time()

names = ["Nearest Neighbors", "Linear SVM", "Kernel SVM",

         "Decision Tree", "Random Forest", "Neural Net",

         "Naive Bayes"]

                size=15, horizontalalignment='right')

        i += 1

# measure time before showing the plots because they are shown 

# until the user closes the window displaying the plots

end_time = time()

time_elapsed = end_time-start_time

print(f"script ran for {time_elapsed}seconds")

plt.tight_layout()

plt.show() # not needed in interactive Jupyter session

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