dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to train my model , I achieved an accuracy of 77% maximum for 5 classes to be classified, how to increase it ? size of my data frame is X=(335,48) , y=(335,1)
Thank you
Test different mother wavelets and try decomposition to higher levels
Dear Wassim Diai ,
Methods to Boost the Accuracy of a Model
Add more data. Having more data is always a good idea. ...
Treat missing and Outlier values. ...
Feature Engineering. ...
Feature Selection. ...
Multiple algorithms. ...
Algorithm Tuning. ...
Ensemble methods.
https://www.analyticsvidhya.com/blog/2015/12/improve-machine-learning-results/
Regards,
Shafagat
Models accuracy don't depend on a singke parameter, many factors effect the accuracy of a model. You can find the detailed answer in the link below,
https://datascience.foundation/datatalk/ways-to-improve-the-accuracy-of-machine-learning-models
Try to vary training and testing data as you observe your figures of merit, you may find an optimum value.
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