Accuracy Score
#1327
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1.0 means it got 100%, so 0.6 means it got 60%, you can run accepted and merged evals scoring to compare and you'll see most of them have a low accuracy score. |
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When I run an eval, I got the following report.
{'accuracy': 0.6, 'boostrap_std': 0.1423900220076777}
How to decide the accuracy is good or not good?
Accuracy score 0.6 can be consider as good or not good? At below which point, We should consider that the Model's performance is not good for that specific eval?
Also, Can anyone explain what is the
boostrap_std
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