1. Select strategy and upload files

Upload train/validation/testing datasets   Upload a dataset to conduct train/validation/testing split   Use stratified K-Fold cross validation method

2. Choose model
CNN LSTM RNN MLP AutoEncoder Transformer SOM RBFNN All

3. Upload training hyperparameters

(1) Epoch

(2) Learning Rate

(3) EarlyStopping Patience

(4) Batch Size

(5) Label Number (NOTE: If you want to use multi-label classification, then the number of labels is greater than 2. Upper limit of 7.)

(6) Loss Function CrossEntropyLoss FocalLoss NLLLoss

(7) Optimizer Adam SGD RMSprop

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