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Accurate Liver Disease Prediction with Extreme Gradient Boosting
2019
International Journal of Engineering and Advanced Technology
Abstract-Machine learning is used extensively in medical diagnosis to predict the existence of diseases. Existing classification algorithms are frequently used for automatic detection of diseases. But most of the times, they do not give 100% accurate results. Boosting techniques are often used in Machine learning to get maximum classification accuracy. Though several boosting techniques are in place but the XGBoost algorithm is doing extremely well for some selected data sets. Building an
doi:10.35940/ijeat.f8684.088619
fatcat:vsr4pe7pwzapbm2qyzlv6bo2jq