Using barh to plot top 10 values in Feature Selection

Hello,

I did Feature Selection of 700 features.

I want to bar plot only the top 5 (with highest predictor rank).

Can you please help?

Thank you in advance.

[idx,scores] = fscmrmr(t_FeaturesData(:,2:700),t.score);

barh(scores(idx))
xlabel('Predictor rank')
ylabel('Predictor importance score')

Answer 1

[Star Strider]

I have no idea what the data are, however the maxk function could do what you want.

.

[Nina Perf]

[idx,scores] = fscmrmr(t_FeaturesData(:,2:700),t.score);

barh(scores(idx))
xlabel('Predictor rank')
ylabel('Predictor importance score')

Thank you so much for the feedback.

Do you know how to use with this? I want to plot a similar barh.

[Star Strider]

My pleasure!

I did not see that part of the post earlier.

Looking through the documentation for the fscmrmr funciton (that I have no experience with), it would seem that the 5 most important predictors are given by the first 5 elements of idx, as described in the example in the documentation section Rank Predictors by Importance . That would appear to do exactly what you describe. If it does not, use maxk on the relevant variable, that most likely being ‘score’.

.