questions on "Apply Model" operator and predicted label
New Altair Community Member
Updated by Jocelyn
I use "Apply Model" operator to predict the test data set. The generated results normally includes three types of information ( confidence (positive class), confidence (negative class), predicted label).
Naturally, when confidence (positive class) is larger than confidence (negative class), the prediction label is positive.
But I found a lot of cases ( using libsvm for text classification), even when confidence (positive ) is smaller than confidence (negative class), the prediction label is still positive. I would like to know why?
Naturally, when confidence (positive class) is larger than confidence (negative class), the prediction label is positive.
But I found a lot of cases ( using libsvm for text classification), even when confidence (positive ) is smaller than confidence (negative class), the prediction label is still positive. I would like to know why?