Data

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.

y1 (target) | numeric | 9368 unique values 0 missing | |

a1 | numeric | 9568 unique values 0 missing | |

a2 | numeric | 8249 unique values 0 missing | |

a3 | numeric | 9839 unique values 0 missing | |

a4 | numeric | 7561 unique values 0 missing | |

a5 | numeric | 6923 unique values 0 missing | |

y2 | numeric | 9678 unique values 0 missing |

Maximum mutual information between the nominal attributes and the target attribute.

The minimal number of distinct values among attributes of the nominal type.

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.

0.23

Third quartile of standard deviation of attributes of the numeric type.

-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.

First quartile of mutual information between the nominal attributes and the target attribute.

-1.24

First quartile of skewness among attributes of the numeric type.

Average mutual information between the nominal attributes and the target attribute.

0.06

First quartile of standard deviation of attributes of the numeric type.

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

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.

0.56

Second quartile (Median) of means among attributes of the numeric type.

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

-0.1

Second quartile (Median) of skewness among attributes of the numeric type.

0.2

Second quartile (Median) of standard deviation of attributes of the numeric type.

24.9

Third quartile of kurtosis among attributes of the numeric type.

Minimal mutual information between the nominal attributes and the target attribute.