credit-card-fraud-detection | The dataset contains 30 independent variables
kandi X-RAY | credit-card-fraud-detection Summary
kandi X-RAY | credit-card-fraud-detection Summary
The dataset contains 30 independent variables telling whether a card is fraud or not. The dataset is highly imbalance, i.e., if we label all the samples as non-fradulent, then we get an accuracy of 99.827%.
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QUESTION
I am developing credit card fraud detections project in machine learning. I have download the code form GitHub (https://github.com/devrajkataria/Credit-Card-Fraud-Detection-ML-WebApp) but I am getting following errors:
...ANSWER
Answered 2021-Apr-20 at 14:57This is very likely to be a versioning problem. Your scikit-learn version is probably the latest version and the model.pkl
you downloaded from the repo you mentioned is an old and incompatible version.
To avoid this kind of problem, we should stick to best practices such as using a requirements.txt
file defining exactly the versions using during development. The same versions could then be installed on production.
If you really need to use this model.pkl
from the repo, I'd suggest creating a GitHub issue asking for a requirement.txt
file. Alternatively, you could try different scikit-learn versions until you get it working, but this can be very cumbersome.
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