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sbilifeNSE

sbilifeNSE

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-11-2019 by ashish kr
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analysis of stocks

15 features

attribute_0nominal2 unique values
0 missing
attribute_1nominal2 unique values
0 missing
attribute_2nominal245 unique values
0 missing
attribute_3nominal237 unique values
0 missing
attribute_4nominal215 unique values
0 missing
attribute_5nominal219 unique values
0 missing
attribute_6nominal223 unique values
0 missing
attribute_7nominal219 unique values
0 missing
attribute_8nominal237 unique values
0 missing
attribute_9nominal244 unique values
0 missing
attribute_10nominal245 unique values
0 missing
attribute_11nominal245 unique values
0 missing
attribute_12nominal245 unique values
0 missing
attribute_13nominal245 unique values
0 missing
attribute_14nominal240 unique values
0 missing

62 properties

245
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
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.
0
Number of numeric attributes.
15
Number of nominal attributes.
Percentage of instances belonging to the least frequent class.
First quartile of kurtosis among attributes of the numeric type.
Third quartile of standard deviation of attributes of the numeric type.
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
First quartile of means among attributes of the numeric type.
82.82
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
2
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
Mean kurtosis among attributes of the numeric type.
First quartile of skewness among attributes of the numeric type.
Mean of means among attributes of the numeric type.
First quartile of standard deviation of attributes of the numeric type.
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.
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.06
Number of attributes divided by the number of instances.
204.2
Average number of distinct values among the attributes of the nominal type.
Mean skewness among attributes of the numeric type.
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.
Mean standard deviation of 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.
Minimal entropy among attributes.
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimum kurtosis among attributes of the numeric type.
13.33
Percentage of binary attributes.
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
Third quartile of kurtosis among attributes of the numeric type.
Maximum of means among attributes of the numeric type.
2
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of numeric attributes.
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
Minimum skewness among attributes of the numeric type.
100
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
245
The maximum number of distinct values among attributes of the nominal type.
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
Third quartile of skewness among attributes of the numeric type.
Maximum skewness among attributes of the numeric type.

6 tasks

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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