Comments (2)
davisking
commented on July 28, 2024
The outputs are from linear SVMs and have the usual interpretation for such models.
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dvorka
commented on July 28, 2024
Normally SVM tries to find a decision function for separating the data of one class from the data of another one. The prediction is returning the distance to this decision function. So the bigger, the more sure the data is in the class; and the sign is above or below the decision function, which is the 0 level. -- sop
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