For a multi-class classification problem, how to transform the target variable to a form that is usable by sklearn algorithms?
98888
Encode multi-class response variable
25745
How do you calculate precision and recall for multiclass classification using confusion matrix?
57060
Is normalizing the features always good for classification?
151342
Is there an optimal loss function for dealing with imbalanced classes?
77815
Machine Learning with intended missing values
109130
What is one class SVM and how does it work?
118276
Multivariate multiple regression validation
953
Regression: Transforming Variables
146981
Using Softmax activation function for multi-class classification
148798
Closed form and gradient calculation for linear regression
149239
Making a single decision tree from a random forest
132334
Is it okay to use cross entropy loss function with soft labels?
104438
Random Forest mtry Spit-to-Split Variable Sampling Procedure
156460
Expanding a dataset based on a weight field
140293
Learning a quadratic function using TensorFlow/Keras
112991
What algorithms need feature scaling, beside from SVM?
104182
regression for binary classification