At this point, we have trained five different models. The predictions are stored in two data frames, one for training and the other for the validation samples:
head(summary_models_train) ## ID_RSSD Default GLM RF GBM deep ## 4 37 0 0.0013554364 0 0.000005755001 0.000000018217172 ## 21 242 0 0.0006967876 0 0.000005755001 0.000000002088871 ## 38 279 0 0.0028306028 0 0.000005240935 0.000003555978680 ## 52 354 0 0.0013898732 0 0.000005707480 0.000000782777042 ## 78 457 0 0.0021731695 0 0.000005755001 0.000000012535539 ## 81 505 0 0.0011344433 0 0.000005461855 0.000000012267744 ## SVM ## 4 0.0006227083 ## 21 0.0002813123 ## 38 0.0010763298 ## 52 0.0009740568 ## 78 0.0021555739 ## 81 0.0005557417
Let's summarize the accuracy of the previously ...
