query: Does collinearity of one-hot encoded features matter for SVM and LogReg?
positive_passages.docid: 78039
positive_passages.text: Dropping one of the columns when using one-hot encoding
negative_passages.docid: 85497
negative_passages.text: Parametric vs non-parametric machine learning methods
negative_passages.docid: 67559
negative_passages.text: Ridge\Lasso -- Standardization of dummy indicators
negative_passages.docid: 126797
negative_passages.text: Elasticity of log-log regression
negative_passages.docid: 73140
negative_passages.text: How does a Support Vector Machine (SVM) work?
negative_passages.docid: 11553
negative_passages.text: Why bother with the dual problem when fitting SVM?
negative_passages.docid: 104621
negative_passages.text: On the hardness of data to learn
negative_passages.docid: 129099
negative_passages.text: Where can I read about gamma coefficient in SVM in scikit-learn?
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: 125575
negative_passages.text: Dimensional regularization: removing more than just logarithmic divergencies?
negative_passages.docid: 142959
negative_passages.text: Do we still need to do feature selection while using Regularization algorithms?
negative_passages.docid: 144918
negative_passages.text: Lasso features selection through Crossvalidation
negative_passages.docid: 98111
negative_passages.text: Sigmoid vs Relu function in Convnets
negative_passages.docid: 27388
negative_passages.text: scikit's RBM pseudo likelihood calculation
negative_passages.docid: 154994
negative_passages.text: Violation of linearity assumption in Logistic Regression
negative_passages.docid: 95663
negative_passages.text: How to interpret Mean Decrease in Accuracy and Mean Decrease GINI in Random Forest models
negative_passages.docid: 121045
negative_passages.text: Confusion on hinge loss and SVM