So I'm going to start by looking through the training data for each of my classes and see if I can spot any outliers. If I scroll along, I can see that there are a couple that are probably outliers. For example, here, the sample has quite flat movement of each of the axes, so I'm going to press the cross and delete this sample. Again, this sample here is quite similar in the fact that there's no kind of dip at the start of the recording, so I'm going to delete that one too. So that's two samples I've deleted. I'm also going to delete this one, 'cause again, this sample is quite flat all the way through. So that's three samples I've deleted. I'm going to replace those samples with three new recordings, which will hopefully be more accurate samples for Good. Okay, that last one wasn't great again, so I'm going to delete it and rerecord it. That looks better this time. I'm now going to have a look through the Bad samples and see if there's any outliers here. This sample here looks like a bit of an outlier 'cause it's got a very wavy line compared to the others, so I'm going to delete this one. I'm also going to delete this one here 'cause it's very flat compared to the other samples. So that's two. I'm going to rerecord those now. Okay, so I've got two more recordings. I'm going to click Train my Model and retrain the model again.