Tried so many different models but cant get good accuracy

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Pytorch deep-neural-networks machine-learning-library tabular-data research-paper

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  • machine-learning-personal

    Personal repo to store datasets/models

    • The data is purely synthetic, with 14 feature columns and a target column having values 0 and 1. The training dataset has 10k rows and is of 180kB. I have uploaded the training data [here](https://github.com/pj-mathematician/machine-learning-personal/blob/main/final_train.csv).

  • tabnet

    PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

    • I tried some other projects like [tabnet](https://github.com/dreamquark-ai/tabnet) they are also yielding *decent* results, but not more than 0.64.

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