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Can u make a video on Prediction of Parkinson disease using Deep learning/Artificial Neural network
If decision tree showing the training accuracy near to 100% and testing accuracy is 90% then it is a case of over fitting . because of huge difference . how to overcome of this over fitting
to overcome the problem of overfitting we can apply regularization, dropout or interpolation.
Thank you for asking !!
Can u make a video on Prediction of Parkinson disease using Deep learning/Artificial Neural network
If decision tree showing the training accuracy near to 100% and testing accuracy is 90% then it is a case of over fitting . because of huge difference . how to overcome of this over fitting
to overcome the problem of overfitting we can apply regularization, dropout or interpolation.
Thank you for asking !!