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stock_fardamento02

stock_fardamento02

active ARFF Public Domain (CC0) Visibility: public Uploaded 22-06-2020 by Rui Henriques
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Author: Source: Unknown - Date unknown Please cite: valores de saida de fardamento com temperaturas, admissões e demissões

7 features

qts (target)numeric113 unique values
0 missing
Materialnumeric261 unique values
0 missing
Dianominal183 unique values
0 missing
ppnumeric32 unique values
0 missing
TEMPnumeric91 unique values
0 missing
admnumeric16 unique values
0 missing
Demnumeric16 unique values
0 missing

19 properties

6277
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.
6
Number of numeric attributes.
1
Number of nominal attributes.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
-2.01
Average class difference between consecutive instances.
85.71
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
14.29
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.

9 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: qts
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: qts
0 runs - estimation_procedure: 33% Holdout set - target_feature: qts
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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