search for: detremine

...d the model. for eg in glmnet if we are working on a dataset containing 15 variables the coeffecient parameters output is like this, from the below result we know that 5 variables or features have entered the model and are chosen and the rest 10 variables have not entered, can we plot an ROC curve detremine sensitivity, specificity and confusion matrix using just this below information. any input would be great. 0.000 0.01213 -0.1213 0.0000 0.0000 0.0000 0.0000 -0.00034 0.0000 0.0000 0.0000 0.0000 0.0023 0.0988 0.0000 thanks vss [[alternative HTML version deleted]]