Auc Logistic Regression Sklearn. This is in fact even lower than our base model. Also the classification report returns error.
Basically the code works and it gives the accuracy of the predictive model at a level of 91 but for some reason the AUC score is 05 which is basically the worst possible score because it means that the model is completely random. 05 is the baseline for random guessing so. The sklearnmetricsroc_auc_score function can be used for multi-class classification.
In this section we calculate the AUC using the OvR and OvO schemes.
Logistic Regression aka logit MaxEnt classifier. Also the classification report returns error. This is a general function given points on a curve. Jan 08 2019 While the resampled data slightly outperformed on AUC the accuracy drops to 866.
