Data
rabe_265

rabe_265

active ARFF Publicly available Visibility: public Uploaded 04-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: This file contains data from Regression Analysis By Example, 2nd Edition, by Samprit Chatterjee and Bertram Price, John Wiley, 1991. Data sets have names of the form 'rabe.xxx' where xxx is the page number in the book where the data occurs. For additional information, Samprit Chatterjee can be reached using "schatter@stern.nyu.edu". File: ../data/rabe/rabe.265 Note: there were no information about the columns in the data set, hence automatically generated names Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific

7 features

col_7 (target)numeric47 unique values
0 missing
col_1numeric34 unique values
0 missing
col_2numeric47 unique values
0 missing
col_3numeric51 unique values
0 missing
col_4numeric44 unique values
0 missing
col_5numeric23 unique values
0 missing
col_6numeric42 unique values
0 missing

19 properties

51
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.
-27.39
Average class difference between consecutive instances.
0
Percentage of missing values.
0.14
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
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.

13 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: col_7
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: col_7
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
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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