Will the change of mean/variance of data impact the svm classifier?
15196
Why scaling is important for the linear SVM classification?
85497
Parametric vs non-parametric machine learning methods
91111
Which performance measure to use when using SVM: MSE or MAE?
17254
Why use logistic regression instead of SVM?
72501
What does the "machine" in "support vector machine" and "restricted Boltzmann machine" mean?
26160
One-vs-All and One-vs-One in svm?
153261
Linear kernel and non-linear kernel for support vector machine?
43140
What does the cost (C) parameter mean in SVM?
51084
Won't highly-correlated variables in random forest distort accuracy and feature-selection?
153285
Is hyperparameter tuning on sample of dataset a bad idea?
61395
An example where the output of the k-medoid algorithm is different than the output of the k-means algorithm
130691
Compare classifiers based on AUROC or accuracy?
52778
SVM cost parameter
132440
Should the mean be used when data are skewed?
40236
SVM - hard or soft margins?
9663
Is it a good practice to always scale/normalize data for machine learning?
99864
Using a regression model to make prediction: When to stop?