Is there a way to make some features more important than others in a SVM classifier?
102449
Weighting features prior to SVM
81007
Help me understand Support Vector Machines
131784
FindFaces: how to improve the results of the face recognition feature
15196
Why scaling is important for the linear SVM classification?
89330
Machine Learning - Where is the difference between one-class, binary-class and multinominal-class classification?
4409
How does one interpret SVM feature weights?
26160
One-vs-All and One-vs-One in svm?
105377
Feature selection with Random Forests
107608
Differentiation in support vector machine
88516
Is dimensionality reduction almost always useful for classification?
77815
Machine Learning with intended missing values
154304
Do PCA affect different classification methods?
121045
Confusion on hinge loss and SVM
52778
SVM cost parameter
149875
Why does increasing the number of features reduce performance?
135987
Better accuracy with validation set than test set
104882
Relative importance of a set of predictors in a random forests classification in R