Data
collins

collins

active ARFF Publicly available Visibility: public Uploaded 10-11-2017 by Joaquin Vanschoren
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Author: Jeff Collins Source: [StatLib](http://lib.stat.cmu.edu/datasets/collins.txt) Please cite: None Data used in an analysis of the Brown and Frown corpora for my doctoral dissertation titled ``Variations in Written English: Characterizing Authors' Rhetorical Language Choices Across Corpora of Published Texts" (Completed at Carnegie Mellon Univ, 2003). The source of the corpora was the ICAME CD-ROM (get info at ). The data were generated from the texts using tagging and visualization software, Docuscope. The first row is the variable names. The genre of each text (assigned by the Brown corpus compilers) is in 'Genre' column and the corpus is listed in the 'corpus' column with 1=Brown and 2=Frown corpus. The dataset may be freely used and distributed for non-commercial purposes. Note: The Genre and Corpus values together make up the target, and the Countr just counts documents within each counter, so they should probably be ignored.

24 features

Corp.Genre (target)nominal30 unique values
0 missing
Text (row identifier)nominal1000 unique values
0 missing
FirstPersonnumeric228 unique values
0 missing
InnerThinkingnumeric326 unique values
0 missing
ThinkPositivenumeric177 unique values
0 missing
ThinkNegativenumeric269 unique values
0 missing
ThinkAheadnumeric205 unique values
0 missing
ThinkBacknumeric143 unique values
0 missing
Reasoningnumeric312 unique values
0 missing
Share_SocTiesnumeric339 unique values
0 missing
Direct_Activitynumeric98 unique values
0 missing
Interactingnumeric220 unique values
0 missing
Notifyingnumeric273 unique values
0 missing
LinearGuidancenumeric562 unique values
0 missing
WordPicturenumeric577 unique values
0 missing
SpaceIntervalnumeric275 unique values
0 missing
Motionnumeric148 unique values
0 missing
PastEventsnumeric350 unique values
0 missing
TimeIntervalnumeric216 unique values
0 missing
ShiftingEventsnumeric151 unique values
0 missing
Text_Coveragenumeric793 unique values
0 missing
Genre (ignore)nominal15 unique values
0 missing
Counter (ignore)numeric1000 unique values
0 missing
Corpus (ignore)nominal2 unique values
0 missing

62 properties

1000
Number of instances (rows) of the dataset.
24
Number of attributes (columns) of the dataset.
30
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.
20
Number of numeric attributes.
4
Number of nominal attributes.
0.53
First quartile of skewness among attributes of the numeric type.
3.3
Mean of means among attributes of the numeric type.
0.4
First quartile of standard deviation of attributes of the numeric type.
0.97
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
4.65
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.
0.9
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.02
Number of attributes divided by the number of instances.
30
Average number of distinct values among the attributes of the nominal type.
1.28
Second quartile (Median) of means 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.
1.2
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
8
Percentage of instances belonging to the most frequent class.
1.06
Mean standard deviation of attributes of the numeric type.
1
Second quartile (Median) of skewness among attributes of the numeric type.
80
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
4.17
Percentage of binary attributes.
0.73
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.4
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
27.66
Maximum kurtosis among attributes of the numeric type.
0.27
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
3.27
Third quartile of kurtosis among attributes of the numeric type.
31.39
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
83.33
Percentage of numeric attributes.
2.63
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
30
The minimal number of distinct values among attributes of the nominal type.
16.67
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
30
The maximum number of distinct values among attributes of the nominal type.
-0.08
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.52
Third quartile of skewness among attributes of the numeric type.
3.99
Maximum skewness among attributes of the numeric type.
0.25
Minimum standard deviation of attributes of the numeric type.
0.36
First quartile of kurtosis among attributes of the numeric type.
1.02
Third quartile of standard deviation of attributes of the numeric type.
5.41
Maximum standard deviation of attributes of the numeric type.
0.6
Percentage of instances belonging to the least frequent class.
6
Number of instances belonging to the least frequent class.
0.68
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
3.83
Mean kurtosis among attributes of the numeric type.

4 tasks

2046 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Corp.Genre
0 runs - estimation_procedure: 33% Holdout set - target_feature: Corp.Genre
0 runs - estimation_procedure: 50 times Clustering
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