COVID-19 classification on DiCOVA Track 1 blind 2021 (test)
87.07AUCCNN with Data Augmentation
Evaluation results
| Method | Links | |
|---|---|---|
| CNN with Data AugmentationModel Architecture=Convolutional Neural Network, Data Augmentation=true, Evaluation Protocol=5-fold cross-validation2021.10 | 87.07 | |
| CNNModel Architecture=Convolutional Neural Network, Data Augmentation=false, Evaluation Protocol=5-fold cross-validation2021.10 | 72.33 | |
| Random Forest (baseline)Model Architecture=Random Forest, Evaluation Protocol=5-fold cross-validation2021.10 | 70.69 | |
| LSTMModel Architecture=Long Short-Term Memory, Evaluation Protocol=5-fold cross-validation2021.10 | 70.67 | |
| MLPModel Architecture=Multi-Layer Perceptron, Evaluation Protocol=5-fold cross-validation2021.10 | 56.57 |