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"Bug in Binary2MultiClassLearner Output Display"
I am doing text classification using LibSVMLearner inside the Binary2MultiClassLearner. In the GUI, a display of the output of the Binary2MultiClassLearner is shown. The display shows different tabs like: "ClassX vs all other", "ClassY vs all other", "ClassZ vs all other", etc.
The strange part:
1. Each tab (class) shows its top (weight) attributes that should belong to the next tab (class). For example, the ClassY tab shows its top attributes that I think should belong to ClassZ.
2. The first tab (class) seems to contain all the top attributes from the other classes.
3. I don't know the importance of the Bias (offset) but the first tab has positive 1.001 while the rest of the tabs have biases close to negative 1.
Has anybody encountered this? I'm sure I've placed the training data in the right directories and labelled them correctly.