query: Distinguishing the meaning and uses of effect size vs relative feature importance
positive_passages.docid: 146387
positive_passages.text: Is there a general definition of the effect size?
negative_passages.docid: 9930
negative_passages.text: Correlations between continuous and categorical (nominal) variables
negative_passages.docid: 57585
negative_passages.text: Discovering new features
negative_passages.docid: 92981
negative_passages.text: Exercise: Should we trust our naive bayes or a human "guru"?
negative_passages.docid: 79409
negative_passages.text: What is the benefit of latent variables?
negative_passages.docid: 25399
negative_passages.text: Predicting with both continuous and categorical features
negative_passages.docid: 75298
negative_passages.text: Standardization of variables and collinearity
negative_passages.docid: 136457
negative_passages.text: Difference in scaling of Linear Discriminant Analysis coefficients between manual calculation and R
negative_passages.docid: 51084
negative_passages.text: Won't highly-correlated variables in random forest distort accuracy and feature-selection?
negative_passages.docid: 13664
negative_passages.text: Bias and variance in leave-one-out vs K-fold cross validation
negative_passages.docid: 32548
negative_passages.text: On the importance of the i.i.d. assumption in statistical learning
negative_passages.docid: 31691
negative_passages.text: Mean centering interaction terms
negative_passages.docid: 149875
negative_passages.text: Why does increasing the number of features reduce performance?
negative_passages.docid: 151995
negative_passages.text: Why are effect size estimates (such as $R^2$) difficult in mixed-effects models?
negative_passages.docid: 91776
negative_passages.text: Understanding which features were most important for logistic regression
negative_passages.docid: 710
negative_passages.text: Importance of predictors in multiple regression: Partial $R^2$ vs. standardized coefficients
negative_passages.docid: 19247
negative_passages.text: How should one interpret the comparison of means from different sample sizes?