Task $4$: Time series classification using sktime

Task $5$: Multivariate time series classification

Use Eplipsy dataset in the UCR$/$UEA repository.

Use sktime's load$\_$UCR$\_$UEA$\_$dataset function to perform. You should use each dataset's original train$/$test splits.

For training, you need to run at least $10$ epochs for your deep learning model. For TapNet, you can keep the default parameter options.

Report the test scores of three models on the predefined test set.

Do the same task on one more chosen multivariate time series dataset.

Put everything together

Task $0$: State three univariate time series datasets you chose for the tasks.

Task $3$: Briefly explain which model you chose, how you improved it$.$ Report test scores of the model on three datasets you chose.

Task $5$: