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"all solution for linux" #4

Answered by KOLANICH
ghost asked this question in Q&A
Dec 14, 2022 · 1 comments · 2 replies
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codehangen, I have done a research on the topic and tried to train XGBoost models (survival regression, also tried plugging Weibull there). The results were that only had effect on mortality. If > means "expected lifetime is longer", then Hitachi > HGST > Toshiba > WD > Seagate, and everything else used to be insignificant. Even the number of platters had no effect. Even the year of model (among the studied models, the models studied were limited by the ones present in Backblaze dataset) had no effect. I guess a better model can be created, but it would require a lot of data cleansing (datag should be finished first), in order to train an embedding to try to use it as features instead of …

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