when i run the cross validation score here , i am already getting the accuracy to be 96 and in the videos the mentor is getting it to be 46
why so , we have used the same datasets
I am already getting the accuracy to be 96%
There are many factors which can affect the results of an ML Model. I need to see the model you have trained to comment on the performance. (Note: 96% on MNIST is quite easy to obtain even with very simple models).
Also, in the video, only the non-optimized version of SVM gave an accuracy score of 45%. LogisticRegression without any tuning gave 92% and SVM after Grid Search gave an accuracy of 97%.
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