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libras_move

libras_move

in_preparation ARFF Publicly available Visibility: public Uploaded 04-05-2017 by Rafael Gomes Mantovani
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Target feature from v1 converted as categorical.

91 features

Class (target)nominal15 unique values
0 missing
xcoord1numeric214 unique values
0 missing
ycoord1numeric194 unique values
0 missing
xcoord2numeric218 unique values
0 missing
ycoord2numeric189 unique values
0 missing
xcoord3numeric217 unique values
0 missing
ycoord3numeric195 unique values
0 missing
xcoord4numeric216 unique values
0 missing
ycoord4numeric200 unique values
0 missing
xcoord5numeric216 unique values
0 missing
ycoord5numeric193 unique values
0 missing
xcoord6numeric211 unique values
0 missing
ycoord6numeric197 unique values
0 missing
xcoord7numeric217 unique values
0 missing
ycoord7numeric187 unique values
0 missing
xcoord8numeric201 unique values
0 missing
ycoord8numeric194 unique values
0 missing
xcoord9numeric211 unique values
0 missing
ycoord9numeric191 unique values
0 missing
xcoord10numeric217 unique values
0 missing
ycoord10numeric189 unique values
0 missing
xcoord11numeric216 unique values
0 missing
ycoord11numeric190 unique values
0 missing
xcoord12numeric218 unique values
0 missing
ycoord12numeric185 unique values
0 missing
xcoord13numeric219 unique values
0 missing
ycoord13numeric191 unique values
0 missing
xcoord14numeric214 unique values
0 missing
ycoord14numeric186 unique values
0 missing
xcoord15numeric213 unique values
0 missing
ycoord15numeric187 unique values
0 missing
xcoord16numeric218 unique values
0 missing
ycoord16numeric194 unique values
0 missing
xcoord17numeric214 unique values
0 missing
ycoord17numeric184 unique values
0 missing
xcoord18numeric217 unique values
0 missing
ycoord18numeric179 unique values
0 missing
xcoord19numeric213 unique values
0 missing
ycoord19numeric181 unique values
0 missing
xcoord20numeric202 unique values
0 missing
ycoord20numeric184 unique values
0 missing
xcoord21numeric212 unique values
0 missing
ycoord21numeric176 unique values
0 missing
xcoord22numeric207 unique values
0 missing
ycoord22numeric175 unique values
0 missing
xcoord23numeric206 unique values
0 missing
ycoord23numeric179 unique values
0 missing
xcoord24numeric208 unique values
0 missing
ycoord24numeric172 unique values
0 missing
xcoord25numeric213 unique values
0 missing
ycoord25numeric179 unique values
0 missing
xcoord26numeric222 unique values
0 missing
ycoord26numeric182 unique values
0 missing
xcoord27numeric201 unique values
0 missing
ycoord27numeric177 unique values
0 missing
xcoord28numeric210 unique values
0 missing
ycoord28numeric178 unique values
0 missing
xcoord29numeric214 unique values
0 missing
ycoord29numeric182 unique values
0 missing
xcoord30numeric214 unique values
0 missing
ycoord30numeric189 unique values
0 missing
xcoord31numeric214 unique values
0 missing
ycoord31numeric176 unique values
0 missing
xcoord32numeric199 unique values
0 missing
ycoord32numeric184 unique values
0 missing
xcoord33numeric232 unique values
0 missing
ycoord33numeric185 unique values
0 missing
xcoord34numeric219 unique values
0 missing
ycoord34numeric176 unique values
0 missing
xcoord35numeric219 unique values
0 missing
ycoord35numeric182 unique values
0 missing
xcoord36numeric222 unique values
0 missing
ycoord36numeric183 unique values
0 missing
xcoord37numeric227 unique values
0 missing
ycoord37numeric197 unique values
0 missing
xcoord38numeric220 unique values
0 missing
ycoord38numeric192 unique values
0 missing
xcoord39numeric227 unique values
0 missing
ycoord39numeric189 unique values
0 missing
xcoord40numeric222 unique values
0 missing
ycoord40numeric196 unique values
0 missing
xcoord41numeric229 unique values
0 missing
ycoord41numeric196 unique values
0 missing
xcoord42numeric231 unique values
0 missing
ycoord42numeric195 unique values
0 missing
xcoord43numeric225 unique values
0 missing
ycoord43numeric193 unique values
0 missing
xcoord44numeric228 unique values
0 missing
ycoord44numeric211 unique values
0 missing
xcoord45numeric235 unique values
0 missing
ycoord45numeric208 unique values
0 missing

62 properties

360
Number of instances (rows) of the dataset.
91
Number of attributes (columns) of the dataset.
15
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.
90
Number of numeric attributes.
1
Number of nominal attributes.
3.91
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.
Second quartile (Median) of entropy among attributes.
0.25
Number of attributes divided by the number of instances.
15
Average number of distinct values among the attributes of the nominal type.
-0.7
Second quartile (Median) of kurtosis 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.
-0.19
Mean skewness among attributes of the numeric type.
0.51
Second quartile (Median) of means among attributes of the numeric type.
6.67
Percentage of instances belonging to the most frequent class.
0.18
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
24
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0.24
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.03
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.18
Second quartile (Median) of standard deviation of attributes of the numeric type.
-0.25
Maximum kurtosis among attributes of the numeric type.
0.46
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.57
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-0.57
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
15
The minimal number of distinct values among attributes of the nominal type.
98.9
Percentage of numeric attributes.
0.52
Third quartile of means among attributes of the numeric type.
15
The maximum number of distinct values among attributes of the nominal type.
-0.47
Minimum skewness among attributes of the numeric type.
1.1
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.19
Maximum skewness among attributes of the numeric type.
0.14
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
-0.05
Third quartile of skewness among attributes of the numeric type.
0.23
Maximum standard deviation of attributes of the numeric type.
6.67
Percentage of instances belonging to the least frequent class.
-0.88
First quartile of kurtosis among attributes of the numeric type.
0.19
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
24
Number of instances belonging to the least frequent class.
0.5
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.
-0.71
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.51
Mean of means among attributes of the numeric type.
-0.3
First quartile of skewness among attributes of the numeric type.
0.96
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.16
First quartile of standard deviation of attributes of the numeric type.

12 tasks

30 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
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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