FLORA
发表于 2025-3-30 11:57:01
SHARP: SMART HDD Anomaly Risk Prediction,ependencies of S.M.A.R.T data, it is possible to achieve higher overall failure prediction accuracy and robustness. Our proposed model, named SHARP, is shown to achieve 56% F1 score in one of the holdout blind tests using an industry-scale data set. In the online competition test set, the F1 score was 38%.
轮流
发表于 2025-3-30 13:53:38
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排出
发表于 2025-3-30 16:54:05
,Summary of PAKDD CUP 2020: From Organizers’ Perspective,mpetition task, practical challenges, and evaluation metrics. We then present the statistical results of the competition and summarize the key techniques adopted in the submitted solutions. Finally, we discuss the open issues and the choices of techniques regarding the online deployment.
流浪者
发表于 2025-3-30 20:46:30
Conference proceedings 2020d between February 7th and May 15, 2020 on the Alibaba Cloud Tianchi Platform. A dedicated workshop, featuring the best performing teams of the competition, was held at the 24.th. Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, in April 2019. Due to the COVI
chandel
发表于 2025-3-31 04:14:43
First Place Solution of PAKDD Cup 2020,greedy methods for postprocessing the models’ predictions, our method ranks first in the final standings with F1-Score 49.0683. The corresponding precision and recall are 62.2047 and 40.5128 respectively.