# Questions tagged [spearmans-rank-correlation]

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### If my target variable is binary, is it better to use Pearson's or Spearman's for my correlation vector?

I'm using a corr vector, combined with RFE, to perform feature selection. I keep reading conflicting things online as to whether I should use Pearson's or Spearman's...
722 views

### How do I combine two different measures of correlation coefficients?

In the dataset, we have a numerical feature and a numerical target. We are calculating the Pearson coefficient and Spearman rank correlation. Pearson to track the linear relationship and Spearman to ...
• 401
1 vote
196 views

### Correlation analysis yields conflicting results. Positive Pearson and Negative Spearman

I have four features x1,x2,x3,x4. All of their correlation with y are similar in Pearson correlation and in Spearman rank correlation separately. However, all these are +0.15 in Pearson and -0.6 in ...
77 views

### Rank correlation with spearman and kendall

While interpreting the correlation between ranks, should I use the rho value (for spearman method), tau value (for kendall's tau method), w value ( for kendall's w method) or should I take in ...
• 71
83 views

### Correlation with target variable for regression problem

Given the following dataframe age job salary 0 1 Doctor 100 1 2 Engineer 200 2 3 Lawyer 300 ... with ...
• 775
227 views

### Correlation/distance between sparse vectors

I am looking for a metric for comparing gene count tables. These are long columns of data (a few millions genes by a few dozen samples), with all non-negative entries, about 90% of which are zeros. ...
• 103
268 views

### What statistical method should i use to find Correlation between number of days and AmountEarned

I am new to Data Science and I have a python data frame with Number of days, CountofJobs, and AmountEarned what statistical method should I use to find a correlation between Days and AmountEarned. <...
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### When should mutual information be used for feature selection over other feature selection methods like correlation, ANOVA , etc?

I have a data set with categorical and continuous/ordinal explanatory variables and continuous target variable. I tried to filter features using one-way ANOVA for categorical variables and using ...
1 vote