Prediction of cleaning production equipment
These data are part of the competition Sustainable Industry: Rinse Over Run.
Published by
Schneider Electric
Prediction of cleaning production equipment
Published by
Schneider Electric
Free
Features
Content
This offer includes 5 Datasets
Metadata = 7988 observations of cleaning recipes for the training and test sets
Training Labels = 5021 observations of the final turbidity values for all of the processes in the training sets
Submission Format = 2967 Driven Data competition submission format
Test data = 1880160 observations of each process in the test set
Training data = 5987820 observations of each process in the training set
Content
This offer includes 5 Datasets
Metadata = 7988 observations of cleaning recipes for the training and test sets
Training Labels = 5021 observations of the final turbidity values for all of the processes in the training sets
Submission Format = 2967 Driven Data competition submission format
Test data = 1880160 observations of each process in the test set
Training data = 5987820 observations of each process in the training set
Metadata = 7988 observations of cleaning recipes for the training and test sets
Training Labels = 5021 observations of the final turbidity values for all of the processes in the training sets
Submission Format = 2967 Driven Data competition submission format
Test data = 1880160 observations of each process in the test set
Training data = 5987820 observations of each process in the training set
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