DEVELOPMENT... OpenML
Data
sulfur

sulfur

active ARFF Publicly available Visibility: public Uploaded 05-07-2022 by Frank Wallace
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
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: "The sulfur recovery unit (SRU) removes environmental pollutants from acid gas streams before they are released into the atmosphere. Furthermore, elemental sulfur is recovered as a valuable by-product." 5 inputs variables are gas and air flows. 2 outputs to predict are H2S and SO2 concentrations See Appendix A.5 of Fortuna, L., Graziani, S., Rizzo, A., Xibilia, M.G. "Soft Sensors for Monitoring and Control of Industrial Processes" (Springer 2007) for more info.

7 features

y1 (target)numeric9368 unique values
0 missing
a1numeric9568 unique values
0 missing
a2numeric8249 unique values
0 missing
a3numeric9839 unique values
0 missing
a4numeric7561 unique values
0 missing
a5numeric6923 unique values
0 missing
y2numeric9678 unique values
0 missing
Show all 7 features

19 properties

NumberOfInstances
10081
Number of instances (rows) of the dataset.
NumberOfFeatures
7
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
0.99
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

1 tasks

Supervised Regression on sulfur
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: y1
Define a new task