Data
Forest_Cover

Forest_Cover

in_preparation ARFF Publicly available Visibility: public Uploaded 22-09-2017 by Minh-Anh Le
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
The Covertype data which is available at UCI repository. In our experiments, instances from class 2 are considered as normal points and instances from class 4 are anomalies. The anomalies ratios is 0.9%. Instances from the other classes are omitted.

11 features

Target (target)nominal2 unique values
0 missing
V1numeric1429 unique values
0 missing
V2numeric361 unique values
0 missing
V3numeric67 unique values
0 missing
V4numeric544 unique values
0 missing
V5numeric689 unique values
0 missing
V6numeric5784 unique values
0 missing
V7numeric203 unique values
0 missing
V8numeric175 unique values
0 missing
V9numeric255 unique values
0 missing
V10numeric5706 unique values
0 missing

62 properties

286048
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
2
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.
10
Number of numeric attributes.
1
Number of nominal attributes.
-0.62
First quartile of skewness among attributes of the numeric type.
855.63
Mean of means among attributes of the numeric type.
23.35
First quartile of standard deviation of attributes of the numeric type.
1
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
0.08
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.
0.95
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
219.62
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.
0.35
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
99.04
Percentage of instances belonging to the most frequent class.
370.27
Mean standard deviation of attributes of the numeric type.
0.6
Second quartile (Median) of skewness among attributes of the numeric type.
283301
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
9.09
Percentage of binary attributes.
82.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.08
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
6.69
Maximum kurtosis among attributes of the numeric type.
13.6
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
2.03
Third quartile of kurtosis among attributes of the numeric type.
2914.24
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
90.91
Percentage of numeric attributes.
2220.43
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.
9.09
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-1.18
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.17
Third quartile of skewness among attributes of the numeric type.
1.91
Maximum skewness among attributes of the numeric type.
7.14
Minimum standard deviation of attributes of the numeric type.
0.21
First quartile of kurtosis among attributes of the numeric type.
513.84
Third quartile of standard deviation of attributes of the numeric type.
1618.09
Maximum standard deviation of attributes of the numeric type.
0.96
Percentage of instances belonging to the least frequent class.
2747
Number of instances belonging to the least frequent class.
118.47
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.
1.39
Mean kurtosis among attributes of the numeric type.

8 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
0 runs - estimation_procedure: 50 times Clustering
Define a new task