Data
sulfur

sulfur

active ARFF Publicly available Visibility: public Uploaded 06-07-2016 by Manuel Martin Salvador
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"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

62 properties

10081
Number of instances (rows) of the dataset.
7
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.
7
Number of numeric attributes.
0
Number of nominal attributes.
0.59
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-1.27
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
2.5
Third quartile of skewness among attributes of the numeric type.
6.73
Maximum skewness among attributes of the numeric type.
0.05
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.23
Third quartile of standard deviation of attributes of the numeric type.
0.24
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.7
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.17
First quartile of means among attributes of the numeric type.
14.08
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.43
Mean of means among attributes of the numeric type.
-1.24
First quartile of skewness among attributes of the numeric type.
0.99
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.06
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.02
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.93
Mean skewness among attributes of the numeric type.
0.56
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
0.16
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0.1
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.94
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.2
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
74.45
Maximum kurtosis among attributes of the numeric type.
0.08
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
24.9
Third quartile of kurtosis among attributes of the numeric type.
0.6
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.

3 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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