Data
cpu_act

cpu_act

active ARFF Publicly available Visibility: public Uploaded 05-07-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original description: Author: Source: Unknown - Please cite: The Computer Activity databases are a collection of computer systems activity measures. The data was collected from a Sun Sparcstation 20/712 with 128 Mbytes of memory running in a multi-user university department. Users would typically be doing a large variety of tasks ranging from accessing the internet, editing files or running very cpu-bound programs. The data was collected continuously on two separate occasions. On both occassions, system activity was gathered every 5 seconds. The final dataset is taken from both occasions with equal numbers of observations coming from each collection epoch. System measures used: 1. lread - Reads (transfers per second ) between system memory and user memory. 2. lwrite - writes (transfers per second) between system memory and user memory. 3. scall - Number of system calls of all types per second. 4. sread - Number of system read calls per second. 5. swrite - Number of system write calls per second . 6. fork - Number of system fork calls per second. 7. exec - Number of system exec calls per second. 8. rchar - Number of characters transferred per second by system read calls. 9. wchar - Number of characters transfreed per second by system write calls. 10. pgout - Number of page out requests per second. 11. ppgout - Number of pages, paged out per second. 12. pgfree - Number of pages per second placed on the free list. 13. pgscan - Number of pages checked if they can be freed per second. 14. atch - Number of page attaches (satisfying a page fault by reclaiming a page in memory) per second. 15. pgin - Number of page-in requests per second. 16. ppgin - Number of pages paged in per second. 17. pflt - Number of page faults caused by protection errors (copy-on-writes). 18. vflt - Number of page faults caused by address translation. 19. runqsz - Process run queue size. 20. freemem - Number of memory pages available to user processes. 21. freeswap - Number of disk blocks available for page swapping. 22. usr - Portion of time (%) that cpus run in user mode. 23. sys - Portion of time (%) that cpus run in system mode. 24. wio - Portion of time (%) that cpus are idle waiting for block IO. 25. idle - Portion of time (%) that cpus are otherwise idle. The two different regression tasks obtained from these databases are: CompAct Predict usr, the portion of time that cpus run in user mode from all attributes 1-21. CompAct(s) Predict usr using a restricted number (excluding the paging information (10-18) Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Original source: DELVE repository of data. Characteristics: 8192 cases, 22 continuous attributes

22 features

usr (target)numeric56 unique values
0 missing
lreadnumeric235 unique values
0 missing
lwritenumeric189 unique values
0 missing
scallnumeric4115 unique values
0 missing
sreadnumeric794 unique values
0 missing
swritenumeric640 unique values
0 missing
forknumeric228 unique values
0 missing
execnumeric386 unique values
0 missing
rcharnumeric7997 unique values
0 missing
wcharnumeric7939 unique values
0 missing
pgoutnumeric404 unique values
0 missing
ppgoutnumeric774 unique values
0 missing
pgfreenumeric1070 unique values
0 missing
pgscannumeric1202 unique values
0 missing
atchnumeric253 unique values
0 missing
pginnumeric832 unique values
0 missing
ppginnumeric1072 unique values
0 missing
pfltnumeric2987 unique values
0 missing
vfltnumeric3799 unique values
0 missing
runqsznumeric302 unique values
0 missing
freememnumeric3165 unique values
0 missing
freeswapnumeric7658 unique values
0 missing

19 properties

8192
Number of instances (rows) of the dataset.
22
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.
22
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
-14.02
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: usr
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