query: When should I apply feature scaling for my data
positive_passages.docid: 9488
positive_passages.text: When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
negative_passages.docid: 99413
negative_passages.text: Are mean normalization and feature scaling needed for k-means clustering?
negative_passages.docid: 57060
negative_passages.text: Is normalizing the features always good for classification?
negative_passages.docid: 124476
negative_passages.text: What are the implications of scaling the features to xgboost?
negative_passages.docid: 142784
negative_passages.text: For linear classifiers, do larger coefficients imply more important features?
negative_passages.docid: 132440
negative_passages.text: Should the mean be used when data are skewed?
negative_passages.docid: 156972
negative_passages.text: Scale-invariant analysis of time series
negative_passages.docid: 36335
negative_passages.text: When wouldn't I use LASSO for model selection?
negative_passages.docid: 39879
negative_passages.text: Should I remove non-significant variables from my regression model
negative_passages.docid: 81645
negative_passages.text: Combining PCA, feature scaling, and cross-validation without training-test data leakage
negative_passages.docid: 91776
negative_passages.text: Understanding which features were most important for logistic regression
negative_passages.docid: 82477
negative_passages.text: Scaling colormaps with pgfplots
negative_passages.docid: 29415
negative_passages.text: Should I discard a feature whose max - min is smaller than 1e-5?
negative_passages.docid: 57829
negative_passages.text: Variables are often adjusted (e.g. standardised) before making a model - when is this a good idea, and when is it a bad one?
negative_passages.docid: 74818
negative_passages.text: How to get correct scale values?
negative_passages.docid: 142623
negative_passages.text: scaling for SVM destroys my results
negative_passages.docid: 157675
negative_passages.text: Prediction interval on untransformed scale