what is the difference between bagging and boosting in random forest?
13076
Is random forest a boosting algorithm?
15196
Why scaling is important for the linear SVM classification?
124109
K-fold vs. Monte Carlo cross-validation
101661
What should be the optimal parameters for Random Forest classifier?
142959
Do we still need to do feature selection while using Regularization algorithms?
70819
Why do Random forest and XGBoost gives different importance weight on the same set of features?
32234
Reference for random forests
19801
Input vector representation vs output vector representation in word2vec
26160
One-vs-All and One-vs-One in svm?
2074
Multinomial logistic regression vs one-vs-rest binary logistic regression
125336
What is the form of data used for prediction with generalized stacking ensemble?
41200
Understanding Naive Bayes
107315
Does random forest need input variables to be scaled or centered?
13664
Bias and variance in leave-one-out vs K-fold cross validation
34844
What is dimensionality reduction? What is the difference between feature selection and extraction?
15668
Are numerical variables must for random forest algorithm?
125054
How does gradient boosting calculate probability estimates?