I have tried various learning rates like : 0.1 , 0.01 , 0.001 , 1e-3, 1e-4 ,… etc
I also tried to vary the max epochs like 100, 200, 300
but at max I was able to achieve 97%
I plotted the error functions as well ( some results were beyond expectations)
Then I also used scikit leran but then also I got 96% accuracy.
Now, what to do next ??
Hey @mananaroramail, I see you have achieved a pretty good accuracy of 97%. Some other things you can try are :
Class Imbalance - Look for class imbalance in your data. Most classifiers in SkLearn including LogisticRegression have a class_weight parameter. Setting that to balanced might also work well in case of a class imbalance.
Hyperparameter Tuning - Grid Search - You can improve your accuracy by performing a Grid Search to tune the hyperparameters of your model. For example in case of LogisticRegression , the parameter C is a hyperparameter. Scikit-Learn provides the GridSearchCV class for this. This article is also a good starting point.
Hope this helps. Best of Luck.
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