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AUC for each model and their performance when we set probability cutoff at 50% is summarised below:
1> table_perf
2 model auc accuracy sensitivity specificity kappa
31 logistic regression 0.703 0.645 0.643 0.65 0.256
42 SVM 0.703 0.635 0.612 0.688 0.257
53 RandomForest 0.705 0.657 0.666 0.635 0.268
64 XGB 0.706 0.636 0.618 0.68 0.255
75 Ensemble 0.715 0.65 0.637 0.68 0.275
8>
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