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explore-data-via-weka's Introduction

Explore-Data-via-Weka

Ref: https://www.cs.waikato.ac.nz/ml/weka/courses.html

Data: weather.nominal

image

Open file weather.nominal.arff

image image

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

  1. Remove instances where humidity is high.

Exercise -2

  1. Download the data "trains-transformed.data" from https://archive.ics.uci.edu/ml/datasets/Trains;
  2. Create an ''Arff data'' version for Weka;
  3. Check whether it has missing values? If so, remove the instances that contain the missing values.

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