7
$\begingroup$

How to plot mean_train_score and mean_test_score values in GridSearchCV for C and gamma values of SVM?

$\endgroup$
7
$\begingroup$

You could visualize them as a heatmap.

For example you could use the C values as the rows, the gamma values as the columns and the color intensity of each element in the heatmap array would correspond to the mean_test_score.

To implement this you first need to create a pandas.DataFrame like this:

$$ \begin{array}{c | c c c} & C & gamma & mean\_test\_score \\ \hline 1 & 0.1 & 0.001 & 0.798 \\ 2 & 1 & 0.001 & 0.813 \\ 3 & 1 & 0.01 & 0.801 \\ 4 & 10 & 0.001 & 0.787 \\ \end{array} $$

To do this you need to store each run you make in a different line, which will contain all necessary hyper-parameters and the result. Then you will need to make a pivot table which will use C as the rows, gamma as the columns and mean_test_score as the values.

pivot = pd.pivot_table(df, values=df['mean_test_score'])

This pivot will be the array that will form your heatmap. Now you should select your aesthetic parameters (e.g. colormap) and proceed to make the heatmap.

sns.heatmap(pivot) # plus any other aesthetic parameters you wish
|improve this answer|||||
$\endgroup$
  • $\begingroup$ Yes.. Please update on how to implement that.. $\endgroup$ – Harika M Sep 24 '18 at 0:32
  • $\begingroup$ @HarikaM I added a way to implement this in python $\endgroup$ – Mnng Oct 2 '18 at 22:56

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.