Maintaining Consistency in Training with Repeatable Splitting Reviews

Alexander Q. · Reviewed about 5 years ago

Lloyd B. · Reviewed about 5 years ago

Yuki K. · Reviewed about 5 years ago

Julian B. · Reviewed about 5 years ago

Jake G. · Reviewed about 5 years ago

Peter F. · Reviewed about 5 years ago

Matthew J. · Reviewed about 5 years ago

Amin A. · Reviewed about 5 years ago

Ivan E. · Reviewed about 5 years ago

Roi S. · Reviewed about 5 years ago

Humberto P. · Reviewed about 5 years ago

Aksel E. · Reviewed about 5 years ago

Patrik F. · Reviewed about 5 years ago

Notebook doesn't work. Even after Kernel Restart.

Louise H. · Reviewed about 5 years ago

Lu Y. · Reviewed about 5 years ago

Nishanth N. · Reviewed about 5 years ago

Juliana B. · Reviewed about 5 years ago

MOKSHAD K. · Reviewed about 5 years ago

Oscar A. · Reviewed about 5 years ago

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. · Reviewed about 5 years ago

Adrian T. · Reviewed about 5 years ago

A little more explanations use of MOD function

Nicolas G. · Reviewed about 5 years ago

Sven V. · Reviewed about 5 years ago

Lynn Z. · Reviewed about 5 years ago

Frederik T. · Reviewed about 5 years ago