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simulated_sgemm_gpu_kernel_performance

simulated_sgemm_gpu_kernel_performance

active ARFF CC BY 4.0 Visibility: public Uploaded 30-08-2023 by Shirley
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See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.

15 features

Run1 (target)numeric52208 unique values
0 missing
MWGnumeric5 unique values
0 missing
NWGnumeric6 unique values
0 missing
KWGnumeric5 unique values
0 missing
MDIMCnumeric7 unique values
0 missing
NDIMCnumeric7 unique values
0 missing
MDIMAnumeric7 unique values
0 missing
NDIMBnumeric7 unique values
0 missing
KWInumeric7 unique values
0 missing
VWMnumeric8 unique values
0 missing
VWNnumeric8 unique values
0 missing
STRMnumeric3 unique values
0 missing
STRNnumeric2 unique values
0 missing
SAnumeric2 unique values
0 missing
SBnumeric4 unique values
0 missing

19 properties

5100000
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
15
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
-279.8
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Run1
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