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非专业机器学习相关,但是在磁盘预测场景下同一序列号的磁盘在发生错误的前几天 SMART 数据应该是相近的,这里使用 train_test_split 去划分训练集/数据集是否有 "泄题" 嫌疑?
train_test_split
实际测试中使用 2021Q1-Q4 数据训练,2022Q1 数据验证也证实该算法的结果并不好
The text was updated successfully, but these errors were encountered:
非专业机器学习相关,但是在磁盘预测场景下同一序列号的磁盘在发生错误的前几天 SMART 数据应该是相近的,这里使用 train_test_split 去划分训练集/数据集是否有 "泄题" 嫌疑? 实际测试中使用 2021Q1-Q4 数据训练,2022Q1 数据验证也证实该算法的结果并不好
原作者应该很久没有上 Github 了,这个 Issue 只是提醒一下大家以免花费不必要的时间
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非专业机器学习相关,但是在磁盘预测场景下同一序列号的磁盘在发生错误的前几天 SMART 数据应该是相近的,这里使用
train_test_split
去划分训练集/数据集是否有 "泄题" 嫌疑?实际测试中使用 2021Q1-Q4 数据训练,2022Q1 数据验证也证实该算法的结果并不好
The text was updated successfully, but these errors were encountered: