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Working through the excellent chapters to expand my python expertise. Chapters 01 and 03 have sections that process the
Karate Club data using 2 different methods. I would like to compare the training and prediction accuracies for both procedures.
The chapter 01 GNN analysis is based on 2 classes (Mr. Hi vs Officer) while the wordvec2 procedure in chapter 03 has 4 classes.
While the test accuracies for the 2 class case are ~98%, however when I apply the 4 class data, the training accuracy drops to 59%.
I am not sure whether my approach is correct.
In short, could an analysis of both procedures be provided for the Karate Club data with 4 classes? This would address differences
between GNN and wordvec2.
Thanks,
DGC
The text was updated successfully, but these errors were encountered:
Working through the excellent chapters to expand my python expertise. Chapters 01 and 03 have sections that process the
Karate Club data using 2 different methods. I would like to compare the training and prediction accuracies for both procedures.
The chapter 01 GNN analysis is based on 2 classes (Mr. Hi vs Officer) while the wordvec2 procedure in chapter 03 has 4 classes.
While the test accuracies for the 2 class case are ~98%, however when I apply the 4 class data, the training accuracy drops to 59%.
I am not sure whether my approach is correct.
In short, could an analysis of both procedures be provided for the Karate Club data with 4 classes? This would address differences
between GNN and wordvec2.
Thanks,
DGC
The text was updated successfully, but these errors were encountered: