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A measure of the degree of association among a pair of variables.
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How to compare linear regression and classification trees? [without measuring error]
I know by this and this that RMSE or MAPE are adequate metrics to assess goodness of fit, but Im in a working
enviroment where people can understand the concepts of correlation and average only. … I thought comparing the correlation of predicted values and the observed ones
for each model would be ok for my purpose, but I don't know if there is
a huge mistake I'm comitting in doing so. …
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Pearson and Spearman correlations
If you are interested in measuring the dimension of the correlation, then you should check How to choose between Pearson and Spearman correlation? … Bear in mind that correlation can be measured in numerical variables. I don't think "plant species" is numerical, if that's the case you shouldn't use neither Spearman nor Pearson. …
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1 and 2 sided Pearson value
Pearson correlation coefficient it's just one coefficient - the "one sided" or "two sided" are different ways of testing hyphotesis. This correlation estimator is suitable for continuous variables. … In any case, when interpreting a correlation you should mention first its direction - positive or negative, and then its intensity, based on the p-value provided in your link (if it's larger than 0.05 …