All application is working.
The logic of the application is, to classify the user input, which they provide, and classify them
as 0 or 1.
I am using PCA (n_components = 25) which take train data and convert it to pca(n=25), this is model input, but what it does in real time,
it take user inputs and feed them to predict directly, and the features are totally different and it always classify any instance to 1 always and but what happens is the user input, is when it predicts in real time, it did not convert it to pca, and just send to model to predict and thereby, it always predicts recurrence , even in non-recurence instances.
Also, the index of the input is mismatched. nd that is why, it predicts all to one class.
Please add, understood in your bid, if you have read the task. Thanks.
4 freelanceria on tarjonnut keskimäärin %project_bid_stats_avg_sub_26% %project_currencyDetails_sign_sub_27% tähän työhön
HELLO MY NAME IS FAISAL AND I HAVE WORKED AT GOOGLE AS A MACHINE LEARNING ENGINEER I CAN HELP WITH THAT I AM NEW TO FREELANCER SO I AM BIDDING LOW FAISAL