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papir_1

papir_1

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
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Author: Magne Aldrin (magne.aldrin@nr.no) Source: [StatLib](http://lib.stat.cmu.edu/datasets/) - April 14. 1999 Please cite: One of two multivariate regression data sets from paper industry, from an experiment at the paper plant Norske Skog, Skogn, Norway. They have been described and analysed in: Aldrin, M. (1996), "Moderate projection pursuit regression for multivariate response data", Computational Statistics and Data Analysis, 21, p. 501-531. It consists of 30 observations (rows) and 22 variables (columns), but all response variables are missing for the 28th observation. Columns 1 to 13 are response variables that describes various qualities of the paper. Columns 14 to 22 are 9 predictor variables. The first three predictor variables (x1 in column 14, x2 in column 15 and x3 in column 16) were varied systematically through the experiment, taking the values 1, 0 and -1. The next three predictor variables (columns 17 to 19) are constructed as x12, x22 and x32. The last three predictor variables (columns 20 to 22) are constructed as x1*x2, x1*x3 and x2*x3.

0 features

response_1 (target)numeric9 unique values
1 missing
response_2numeric20 unique values
1 missing
response_3numeric23 unique values
1 missing
response_4numeric23 unique values
1 missing
response_5numeric10 unique values
1 missing
response_6numeric10 unique values
1 missing
response_7numeric22 unique values
1 missing
response_8numeric22 unique values
1 missing
response_9numeric26 unique values
1 missing
response_10numeric10 unique values
1 missing
response_11numeric19 unique values
1 missing
response_12numeric20 unique values
1 missing
response_13numeric24 unique values
1 missing
x1nominal3 unique values
0 missing
x2nominal3 unique values
0 missing
x3nominal3 unique values
0 missing
x1**2nominal2 unique values
0 missing
x2**2nominal2 unique values
0 missing
x3**2nominal2 unique values
0 missing
x1*x2nominal3 unique values
0 missing
x2*x3nominal3 unique values
0 missing
x3*x2nominal3 unique values
0 missing

0 properties

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5 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: response_1
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: response_1
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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