data used can be found https://data.mendeley.com/datasets/c53rh2h435/3 .
Steps follwed:
loaded data with the help of pandas library
pre procsesing done
EDA Done
with the help of k-means clustering alogrithm class is assigned.
and with the help of random forest classifier algorithms tried to make supervised model.
Hypertuning is done so we can achieve good model with help GridSearchCV with 3 folds
then model is used in test data.
train test
accuracy:-100 100
precison:-100 100
recall:- 100 100
with the 95 percent confidence interval model achieved .90 and 1 value
pickle file is genrated
with the help of flask we deploy the model on heroku platform.
you can acess model:- https://gaming-effect-randomf.herokuapp.com/
NOTE :- This app is not authorised from any authority and prediction made in this app is based on less data and it is part of self learning process
Use this as a fun.