I am not sure if this is a bug or I am doing something wrong. When I build my Arduino library from the deployment section, the classifier only predicts the first label with accuracy of 0.99609 in all the iterations. This was working fine till yesterday night.
The Live Classification section works as expected. The Arduino firmware also gives the wrong output.
Hey @ravi_bhushan, which project is this on (I see that you have a bunch) and on which hardware target? I’ve just ran the Arduino export on one of our projects and that still works as expected on the Arduino Nano 33 BLE Sense.
I tried your library on my Arduino and manage to classify different labels.
One quick remark on your dataset: I saw you recently added new samples but with new labels, 7 in total. Are they all different movements? Ideally you’d like to have a uniform dataset, some labels have 10 times more data than others which can lead to overfitting one particular label.