Data
BNG(autoHorse)

BNG(autoHorse)

active ARFF public domain Visibility: public Uploaded 12-11-2014 by Jan van Rijn
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26 features

class (target)numeric994852 unique values
0 missing
symbolingnumeric124104 unique values
0 missing
normalized-lossesnumeric995210 unique values
0 missing
makenominal22 unique values
0 missing
fuel-typenominal2 unique values
0 missing
aspirationnominal2 unique values
0 missing
num-of-doorsnumeric2 unique values
0 missing
body-stylenominal5 unique values
0 missing
drive-wheelsnominal3 unique values
0 missing
engine-locationnominal2 unique values
0 missing
wheel-basenumeric967173 unique values
0 missing
lengthnumeric985679 unique values
0 missing
widthnumeric923654 unique values
0 missing
heightnumeric943054 unique values
0 missing
curb-weightnumeric999632 unique values
0 missing
engine-typenominal7 unique values
0 missing
num-of-cylindersnumeric149813 unique values
0 missing
engine-sizenumeric994265 unique values
0 missing
fuel-systemnominal8 unique values
0 missing
borenumeric621966 unique values
0 missing
strokenumeric608098 unique values
0 missing
compression-rationumeric674917 unique values
0 missing
peak-rpmnumeric999430 unique values
0 missing
city-mpgnumeric973546 unique values
0 missing
highway-mpgnumeric974977 unique values
0 missing
pricenumeric999963 unique values
0 missing

62 properties

1000000
Number of instances (rows) of the dataset.
26
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.
18
Number of numeric attributes.
8
Number of nominal attributes.
11.54
Percentage of binary attributes.
6.26
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.93
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
7.67
Maximum kurtosis among attributes of the numeric type.
0.82
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
1.47
Third quartile of kurtosis among attributes of the numeric type.
13004.15
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
69.23
Percentage of numeric attributes.
135.49
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
30.77
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
22
The maximum number of distinct values among attributes of the nominal type.
-0.59
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.34
Third quartile of skewness among attributes of the numeric type.
2.58
Maximum skewness among attributes of the numeric type.
0.27
Minimum standard deviation of attributes of the numeric type.
-0.52
First quartile of kurtosis among attributes of the numeric type.
39.23
Third quartile of standard deviation of attributes of the numeric type.
7613.4
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
4.27
First quartile of means among attributes of the numeric type.
6.74
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
0.94
Mean kurtosis among attributes of the numeric type.
3
Number of binary attributes.
0.13
First quartile of skewness among attributes of the numeric type.
1194.01
Mean of means among attributes of the numeric type.
1.48
First quartile of standard deviation of attributes of the numeric type.
-41.29
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
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.
0.05
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
6.38
Average number of distinct values among the attributes of the nominal type.
59.87
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.
0.75
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
489.25
Mean standard deviation of attributes of the numeric type.
0.66
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

4 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
Define a new task