Data
Asteroid_Dataset

Asteroid_Dataset

active ARFF Publicly available Visibility: public Uploaded 16-02-2020 by Test Test
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Asteroid Dataset

34 features

pha (target)nominal2 unique values
0 missing
spkid (row identifier)numeric126131 unique values
0 missing
full_namestring126131 unique values
0 missing
Hnumeric184 unique values
0 missing
diameternumeric17990 unique values
3 missing
albedonumeric1061 unique values
0 missing
diameter_sigmanumeric3042 unique values
96 missing
enumeric126131 unique values
0 missing
anumeric126131 unique values
0 missing
qnumeric126131 unique values
0 missing
inumeric126131 unique values
0 missing
omnumeric126131 unique values
0 missing
wnumeric126131 unique values
0 missing
manumeric126131 unique values
0 missing
adnumeric126131 unique values
0 missing
nnumeric126131 unique values
0 missing
tpnumeric126131 unique values
0 missing
tp_calnumeric126131 unique values
0 missing
pernumeric126131 unique values
0 missing
per_ynumeric126131 unique values
0 missing
moidnumeric89028 unique values
0 missing
moid_ldnumeric89028 unique values
0 missing
sigma_enumeric54656 unique values
0 missing
sigma_anumeric56626 unique values
0 missing
sigma_qnumeric41888 unique values
0 missing
sigma_inumeric55635 unique values
0 missing
sigma_omnumeric64396 unique values
0 missing
sigma_wnumeric67941 unique values
0 missing
sigma_manumeric56175 unique values
0 missing
sigma_adnumeric56542 unique values
0 missing
sigma_nnumeric42103 unique values
0 missing
sigma_tpnumeric68720 unique values
0 missing
sigma_pernumeric60574 unique values
0 missing
classnominal11 unique values
0 missing
rmsnumeric25853 unique values
0 missing

107 properties

126131
Number of instances (rows) of the dataset.
34
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
99
Number of missing values in the dataset.
96
Number of instances with at least one value missing.
31
Number of numeric attributes.
2
Number of nominal attributes.
0.52
Second quartile (Median) of entropy among attributes.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
99.88
Percentage of instances belonging to the most frequent class.
659.83
Mean standard deviation of attributes of the numeric type.
1542.02
Second quartile (Median) of kurtosis among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.01
Entropy of the target attribute values.
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
125975
Number of instances belonging to the most frequent class.
0.52
Minimal entropy among attributes.
0.55
Second quartile (Median) of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.52
Maximum entropy among attributes.
-1.23
Minimum kurtosis among attributes of the numeric type.
0.01
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
122247.37
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
25.21
Second quartile (Median) of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
20200250.53
Maximum of means among attributes of the numeric type.
0.01
Minimal mutual information between the nominal attributes and the target attribute.
2.94
Percentage of binary attributes.
0.51
Second quartile (Median) of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0
Number of attributes divided by the number of instances.
0.01
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
0.08
Percentage of instances having missing values.
0.52
Third quartile of entropy among attributes.
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
1.29
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
11
The maximum number of distinct values among attributes of the nominal type.
-2.78
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
66934.4
Third quartile of kurtosis among attributes of the numeric type.
1
Average class difference between consecutive instances.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
347.48
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
91.18
Percentage of numeric attributes.
15.05
Third quartile of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
14436.4
Maximum standard deviation of attributes of the numeric type.
0.12
Percentage of instances belonging to the least frequent class.
5.88
Percentage of nominal attributes.
0.01
Third quartile of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.52
Average entropy of the attributes.
156
Number of instances belonging to the least frequent class.
0.52
First quartile of entropy among attributes.
256.24
Third quartile of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
30957.72
Mean kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
6.94
First quartile of kurtosis among attributes of the numeric type.
13.56
Third quartile of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
731037.7
Mean of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
First quartile of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.01
Average mutual information between the nominal attributes and the target attribute.
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
47.81
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
1
Number of binary attributes.
1.1
First quartile of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
6.36
Standard deviation of the number of distinct values among attributes of the nominal type.
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
6.5
Average number of distinct values among the attributes of the nominal type.
0
First quartile of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
105.83
Mean skewness among attributes of the numeric type.

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