[P] Extreme Imbalance Data from 100K dataset only have 56 failure [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
| | as in the title, my goal is to predicting failure and RUL of machine, dataset is timestamp and when machine is failure it will labeled with 1 that only have 56 From this data im ditching operating hours and humidity because it didnt show correlation for machine failure, what algorithm or deeplearning suit for it? [link] [comments] |
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