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What does Logits in machine learning mean? 7 As other answers state, "logits" refers to unnormalized log-probabilities However, what does that mean? The term "logit" is used in machine learning models that output probabilities, that is, numbers between 0 and 1 The most prominent ones are classification models, either binary classification or multi-class classification:
How to interpret coefficients from logistic regression? I ran a logistic regression (statsmodel) on my data with 60 features using the below code import statsmodels api as sm logit_model=sm Logit (y_train,X_train_std) result=logit_model fit () print (result
machine learning - What does from_logits=True do in . . . In the documentation it has been mentioned that y_pred needs to be in the range of [-inf to inf] when from_logits=True I truly didn't understand what this means, since the probabilities need to be