- Check the filters
- supervised vs unsupervised
- attribute vs instance
- Choose the unsupervised attribute filter Remove
- Check the More information; look at the options
- Set attributeIndices to 3 and click OK
- Apply the filter
- Recall that you can Save the result
- Press Undo
- Remove instances where humidity is high.
- Download the data "trains-transformed.data" from https://archive.ics.uci.edu/ml/datasets/Trains;
- Create an ''Arff data'' version for Weka;
- Check whether it has missing values? If so, remove the instances that contain the missing values.