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The performance of Dong et al.’s model as well as the L1-regularized LR, random forest, and convolutional neural network models with active features after switching the datasets for training and testing.
| Algorithm | V-score for Switched Datasets |
|---|---|
| L1-regularized LR from Dong et al. | 0.757 |
| L1-regularized LR with active features | 0.827 |
| Random forest with active features | 0.662 |
| Convolutional neural network with active features | 0.631 |
