Update gaussian_naive_bayes.py #7407
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Using the seaborn.heatmap library to plot the confusion matrix instead of the plot_confusion_matrix method from the sklearn.metrics module.
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mvsg2
commented
Oct 18, 2022
| from sklearn.model_selection import train_test_split | ||
| from sklearn.naive_bayes import GaussianNB | ||
| import time | ||
| import seaborn as sns # For plotting a heatmap of the confusion matrix. This way will not throw any warning. |
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Sorry, didn't mean to import them again...
|
Please read CONTRIBUTING.md. Algorithmic functions should return values and they should not print or plot. |
ZeroDayOwl
suggested changes
Oct 19, 2022
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| if __name__ == "__main__": | ||
| main() |
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Perhaps add doctest cases.
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Using the seaborn.heatmap library to plot the confusion matrix instead of the plot_confusion_matrix method from the sklearn.metrics module.
Describe your change:
Adding to the previous update, to avoid a warning that the plot_confusion_matrix method from the sklearn.metrics throws, I have used the heatmap module of seaborn which takes an argument - the confusion matrix obtained from the confusion_matrix method in the sklearn.metrics library.
Checklist:
Fixes: #{$ISSUE_NO}.