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A measure of the degree of association among a pair of variables.

0 votes

Can I use spearman rho correlation test on these two variables?

Your error is because you have not encoded the categorical variable into a discrete metric IE it is either "S", "M", "T", ... or is not meaning the number of variables you need equals the number if cl …
Chris's user avatar
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0 votes

Multicollinearity and correlation in multiple regression

The Pearson correlation is different than fitting a line through data. … Here we see a strong correlation between the predictor variables $a$ and $b$ and a relatively low VIF. …
Chris's user avatar
  • 711
0 votes

Comparing time series: Pearson correlation, Kendall's tau b or Spearman's rho?

A correlation between the variance of two regions doesn't make sense if you exclude the temporal dimension. …
Chris's user avatar
  • 711
1 vote

Why a set of highly correlated feature can sometimes perform better than low correlated feat...

You are correct in that you are likely looking at linear correlations and the neural network is finding non-linear correlations. Your best bet is to let the network do it's job and perform feature lea …
Chris's user avatar
  • 711