I trained my model using GBM algo from Caret package. I fine tuned it using Grid search. Then I evaluated my model using confusion matrix and ROC value. Below is the numbers for evaluation -
- For Training Data - ROC - 0.94, Accuracy - 87.76%, Sensitivity- 88.67%, Specificity - 85.55%
- For Test Data - ROC - 0.94, Accuracy - 88.09%, Sensitivity- 87.64%, Specificity - 85.59%
I wanted to know that, whether my model is good or not, if not then what all parameters should I focus more for getting the generalized model?