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TDerig23
reviewed
Sep 9, 2022
TDerig23
reviewed
Sep 9, 2022
| #Other models - SVC and Logistic Regression | ||
| svclassifier = SVC(kernel='poly', degree=8) | ||
| svclassifier.fit(X_train_sc, y_train) | ||
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Again the code runs fine here and everything ran right, but print out the values you get from the classifier.fit so we can see if the models are accurate or not
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Well the code includes confusion matrix for both models which shows accuracy, precision, recall and F1 score.
TDerig23
reviewed
Sep 9, 2022
| fig4 = px.violin(df, y="PetalLengthCm", color="Species", violinmode='overlay', hover_data=df.columns) | ||
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| fig5 = px.ecdf(df, x="SepalLengthCm", y="SepalWidthCm", color="Species", ecdfnorm=None) | ||
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do fig1.show(),fig2.show(), etc so we can see the plots. the code runs fine but they don't show up unless you have them
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Thanks for the note! I commented fig.show() to the code.
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Python code should be in Assignment1.py file