关于“Maintaining Consistency in Training with Repeatable Splitting”的评价

Alexander Q. · 已于 about 5 years前审核

Lloyd B. · 已于 about 5 years前审核

Yuki K. · 已于 about 5 years前审核

Julian B. · 已于 about 5 years前审核

Jake G. · 已于 about 5 years前审核

Peter F. · 已于 about 5 years前审核

Matthew J. · 已于 about 5 years前审核

Amin A. · 已于 about 5 years前审核

Ivan E. · 已于 about 5 years前审核

Roi S. · 已于 about 5 years前审核

Humberto P. · 已于 about 5 years前审核

Aksel E. · 已于 about 5 years前审核

Patrik F. · 已于 about 5 years前审核

Notebook doesn't work. Even after Kernel Restart.

Louise H. · 已于 about 5 years前审核

Lu Y. · 已于 about 5 years前审核

Nishanth N. · 已于 about 5 years前审核

Juliana B. · 已于 about 5 years前审核

MOKSHAD K. · 已于 about 5 years前审核

Oscar A. · 已于 about 5 years前审核

In the end, there was a statement which goes like, `Note also that the RMSE on the evaluation dataset more from the RMSE on the training dataset when we do the split correctly.` But I couldn't see the last query results in accordance with this statement. RMSE of train dataset was greater than RMSE of eval dataset. So there is a contradiction.

Jitesh S. · 已于 about 5 years前审核

Adrian T. · 已于 about 5 years前审核

A little more explanations use of MOD function

Nicolas G. · 已于 about 5 years前审核

Sven V. · 已于 about 5 years前审核

Lynn Z. · 已于 about 5 years前审核

Frederik T. · 已于 about 5 years前审核