JiaWu-Repository / Classifier-Weka

Classifier-Weka

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

Ref: The slides from Rolf Schwitter, Carla P. Gomes, Bing Liu, KAU, David Page, and Paul Kennedy

Training and testing - I

Exercise -I

• Use "segment‐challenge.arff" as training set and "segment‐test.arff" as test set;
• Choose KNN with default K value;
• Output the accuracy;
• Evaluate on the training set.

Training and testing - Continuing

Exercise -II

• Load "segment‐challenge.arff";
• 70% of "segment‐challenge.arff" is used as training set with the rest as test set;
• Choose KNN with default K value;
• Output the accuracy;
• Evaluate on the training set.

Exercise -III

• Which feature(s) has the highest impact on the "Friendly"?
• Data source "Rabbit_Sydney_Data".
• What else knowledge do you discover via Weka?