Data
hill-valley

hill-valley

active ARFF Publicly available Visibility: public Uploaded 01-06-2015 by Rafael G. Mantovani
0 likes downloaded by 8 people , 9 total downloads 1 issues 1 downvotes
  • artificial derived study_52 study_7 whyme' study_236
Issue #Downvotes for this reason By
Missing default_target_attribute1User 4095


Loading wiki
Help us complete this description Edit
Author: Lee Graham, Franz Oppacher Source: [original](http://www.openml.org/d/1479) - UCI Please cite: * Dataset: Hill valley dataset. A noiseless version of the data set.

101 features

Class (target)nominal2 unique values
0 missing
V1numeric1212 unique values
0 missing
V2numeric1212 unique values
0 missing
V3numeric1212 unique values
0 missing
V4numeric1212 unique values
0 missing
V5numeric1212 unique values
0 missing
V6numeric1212 unique values
0 missing
V7numeric1212 unique values
0 missing
V8numeric1212 unique values
0 missing
V9numeric1212 unique values
0 missing
V10numeric1212 unique values
0 missing
V11numeric1212 unique values
0 missing
V12numeric1212 unique values
0 missing
V13numeric1212 unique values
0 missing
V14numeric1212 unique values
0 missing
V15numeric1212 unique values
0 missing
V16numeric1212 unique values
0 missing
V17numeric1212 unique values
0 missing
V18numeric1212 unique values
0 missing
V19numeric1212 unique values
0 missing
V20numeric1212 unique values
0 missing
V21numeric1212 unique values
0 missing
V22numeric1212 unique values
0 missing
V23numeric1212 unique values
0 missing
V24numeric1212 unique values
0 missing
V25numeric1212 unique values
0 missing
V26numeric1212 unique values
0 missing
V27numeric1212 unique values
0 missing
V28numeric1212 unique values
0 missing
V29numeric1212 unique values
0 missing
V30numeric1212 unique values
0 missing
V31numeric1212 unique values
0 missing
V32numeric1212 unique values
0 missing
V33numeric1212 unique values
0 missing
V34numeric1212 unique values
0 missing
V35numeric1212 unique values
0 missing
V36numeric1212 unique values
0 missing
V37numeric1212 unique values
0 missing
V38numeric1212 unique values
0 missing
V39numeric1212 unique values
0 missing
V40numeric1212 unique values
0 missing
V41numeric1212 unique values
0 missing
V42numeric1212 unique values
0 missing
V43numeric1212 unique values
0 missing
V44numeric1212 unique values
0 missing
V45numeric1212 unique values
0 missing
V46numeric1212 unique values
0 missing
V47numeric1212 unique values
0 missing
V48numeric1212 unique values
0 missing
V49numeric1212 unique values
0 missing
V50numeric1212 unique values
0 missing
V51numeric1212 unique values
0 missing
V52numeric1212 unique values
0 missing
V53numeric1212 unique values
0 missing
V54numeric1212 unique values
0 missing
V55numeric1212 unique values
0 missing
V56numeric1212 unique values
0 missing
V57numeric1212 unique values
0 missing
V58numeric1212 unique values
0 missing
V59numeric1212 unique values
0 missing
V60numeric1212 unique values
0 missing
V61numeric1212 unique values
0 missing
V62numeric1212 unique values
0 missing
V63numeric1212 unique values
0 missing
V64numeric1212 unique values
0 missing
V65numeric1212 unique values
0 missing
V66numeric1212 unique values
0 missing
V67numeric1212 unique values
0 missing
V68numeric1212 unique values
0 missing
V69numeric1212 unique values
0 missing
V70numeric1212 unique values
0 missing
V71numeric1212 unique values
0 missing
V72numeric1212 unique values
0 missing
V73numeric1212 unique values
0 missing
V74numeric1212 unique values
0 missing
V75numeric1212 unique values
0 missing
V76numeric1212 unique values
0 missing
V77numeric1212 unique values
0 missing
V78numeric1212 unique values
0 missing
V79numeric1212 unique values
0 missing
V80numeric1212 unique values
0 missing
V81numeric1212 unique values
0 missing
V82numeric1212 unique values
0 missing
V83numeric1212 unique values
0 missing
V84numeric1212 unique values
0 missing
V85numeric1212 unique values
0 missing
V86numeric1212 unique values
0 missing
V87numeric1211 unique values
0 missing
V88numeric1212 unique values
0 missing
V89numeric1212 unique values
0 missing
V90numeric1212 unique values
0 missing
V91numeric1212 unique values
0 missing
V92numeric1212 unique values
0 missing
V93numeric1212 unique values
0 missing
V94numeric1212 unique values
0 missing
V95numeric1212 unique values
0 missing
V96numeric1212 unique values
0 missing
V97numeric1212 unique values
0 missing
V98numeric1212 unique values
0 missing
V99numeric1212 unique values
0 missing
V100numeric1212 unique values
0 missing

107 properties

1212
Number of instances (rows) of the dataset.
101
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.
100
Number of numeric attributes.
1
Number of nominal attributes.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.51
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
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
3.24
Mean skewness among attributes of the numeric type.
19409.31
First quartile of standard deviation of attributes of the numeric type.
0.49
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
-0.01
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
0.42
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
50.5
Percentage of instances belonging to the most frequent class.
19481.35
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
1
Entropy of the target attribute values.
0.17
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
612
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
10.77
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
10.51
Minimum kurtosis among attributes of the numeric type.
8200.09
Second quartile (Median) of means among attributes of the numeric type.
0.49
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.49
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
12.67
Maximum kurtosis among attributes of the numeric type.
8113.48
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
8245.6
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
3.22
Second quartile (Median) of skewness among attributes of the numeric type.
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.08
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
0.99
Percentage of binary attributes.
19489.25
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.49
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
2
The maximum number of distinct values among attributes of the nominal type.
3.19
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
3.38
Maximum skewness among attributes of the numeric type.
19223.18
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
11.21
Third quartile of kurtosis among attributes of the numeric type.
0.5
Average class difference between consecutive instances.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.5
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
19788.64
Maximum standard deviation of attributes of the numeric type.
49.5
Percentage of instances belonging to the least frequent class.
99.01
Percentage of numeric attributes.
8212.04
Third quartile of means among attributes of the numeric type.
0.49
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
0.5
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
600
Number of instances belonging to the least frequent class.
0.99
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.5
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
-0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
11.01
Mean kurtosis among attributes of the numeric type.
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
3.26
Third quartile of skewness among attributes of the numeric type.
-0
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
0.53
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
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.5
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
8189.42
Mean of means among attributes of the numeric type.
0.49
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
10.66
First quartile of kurtosis among attributes of the numeric type.
19557.17
Third quartile of standard deviation of attributes of the numeric type.
0.49
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
0.49
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
8168.31
First quartile of means among attributes of the numeric type.
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.02
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
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
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.
First quartile of mutual information between the nominal attributes and the target attribute.
0.49
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.49
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.5
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
2
Average number of distinct values among the attributes of the nominal type.
3.2
First quartile of skewness among attributes of the numeric type.

9 tasks

86 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
31 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
0 runs - estimation_procedure: 10 times 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
Define a new task