Explore-Data-via-Weka
Ref: https://www.cs.waikato.ac.nz/ml/weka/courses.html
Data: weather.nominal
Open file weather.nominal.arff
Use a filter to remove an attribute
- 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
Exercise -1
- Remove instances where humidity is high.
Exercise -2
- 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, report the % of the missing values and then remove the instances that contain the missing values.