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ZCal: Machine learning methods for calibrating radio interferometric data
The average prediction error obtained during the testing of our models on testing data is $ \approx 0. 01 < rmse < 0. 09$ for gain amplitude per antenna, and $0. 2 rad < rmse <0. 5 rad$ for gain phase.
Mapping of Narrative Text Fields To ICD-10 Codes Using Natural Language Processing and Machine Learning
ExtremeGradient Boost outperformed other classifiers in automating the task of assigning ICD-10 codes based on the three narrative text fields with an accuracy of 79{\%}, precision of75{\%}, and recall of 78{\%}.
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