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* JR suggested to test machine learning with whitening, and investigate the issue with single det events like this further.
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* the next meeting call shall be on January 4, 3 PM CEST most likely.
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## Action items:
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### Action items:
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* [ ] Ask Justin for Golum lensed injections study if any.
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* [ ] Produce results with whitening for the O3.
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* [x] Investigate the ML with QTs for the 4 outliers.
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* [x] Make a result review page.
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## 5 January 2021
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* We discussed the performance of XGBoost with QTs for the 2 detector real events.
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* Imputing the dense outputs(i.e. input features of XGBoost) for the missing data help but is not logically understood. (notebook)[https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/review/missing_strain_ML_qts.ipynb]
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* We converged on the training configurations for the final ML results for O3.
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### Action items:
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* [ ] Retrain XGBoost by putting NaN's randomly and without filling 1 in place of NaNs.
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* [ ] Produce the final results asap.
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