Issues with training a new classifier

[Divyansh Rana]

Hi everyone,

In JAABA, when I make a classifier for lunging,  when training, I labelled some positive instances as a lunge, after which I went ahead and predicted on the same set of videos used for training (JAABA automatically predicts as well after training) and I corrected predictions then by changing labels that classifier says as a positive lunge to none when its wrongly classifying. Now when I retrain and it repredicts it should ideally consider that "none" frame as none (since I labelled it that way) but instead it marks it as lunge only.

I dont understand why this is happening. Due to this if there are 30 frames of lunging my output of the classifier says 70 just because it marks frames within the none bracket as well after I trained it properly. Any ideas on this? I have attached a screenshot for reference.

[Divyansh Rana]

In reference to the trailing situation these "none errors" are what I am concerned about. I am getting none errors which are getting prominent as I add more training videos.