query: Discard features with small variance, how to do in practice?
positive_passages.docid: 29415
positive_passages.text: Should I discard a feature whose max - min is smaller than 1e-5?
negative_passages.docid: 137296
negative_passages.text: What's the best way to deal with zero-area faces that break normals
negative_passages.docid: 119234
negative_passages.text: Data Snooping, Information Leakage When Performing Feature Normalization
negative_passages.docid: 104438
negative_passages.text: Random Forest mtry Spit-to-Split Variable Sampling Procedure
negative_passages.docid: 58090
negative_passages.text: Drop unused factor levels in a subsetted data frame
negative_passages.docid: 5063
negative_passages.text: How to avoid noisy renders in Cycles?
negative_passages.docid: 131146
negative_passages.text: Create an adaptive amount of local variables for error propagation
negative_passages.docid: 116610
negative_passages.text: Filtering and Replacing outliers
negative_passages.docid: 10652
negative_passages.text: Removal of lines with no more or fewer than 'N' fields?
negative_passages.docid: 112991
negative_passages.text: What algorithms need feature scaling, beside from SVM?
negative_passages.docid: 91497
negative_passages.text: Removing features whose labels are not displayed?
negative_passages.docid: 101445
negative_passages.text: Retain side-effects but discard command output
negative_passages.docid: 17765
negative_passages.text: How to use SVD for dimensionality reduction to reduce the number of columns (features) of the data matrix?
negative_passages.docid: 142959
negative_passages.text: Do we still need to do feature selection while using Regularization algorithms?
negative_passages.docid: 8922
negative_passages.text: Opinions about Oversampling in general, and the SMOTE algorithm in particular
negative_passages.docid: 152521
negative_passages.text: How to filter features in a layer?
negative_passages.docid: 95829
negative_passages.text: Regression with very small sample size