Data
Goteborg_52

Goteborg_52

in_preparation ARFF Publicly available Visibility: friends Uploaded 29-10-2014 by Nicolas Lachiche
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
Author: Meelis Kull Source: Unknown - Date unknown Please cite: First version from Meelis

45 features

timestampnumeric486 unique values
0 missing
yearnumeric1 unique values
0 missing
monthnumeric2 unique values
0 missing
daynumeric21 unique values
0 missing
gmthournumeric24 unique values
0 missing
desc6hnominal8 unique values
0 missing
temp6hnumeric339 unique values
0 missing
wind6hnumeric253 unique values
0 missing
humid6hnumeric28 unique values
0 missing
press6hnumeric315 unique values
0 missing
rain6hnumeric14 unique values
0 missing
desc12hnominal8 unique values
5 missing
temp12hnumeric327 unique values
5 missing
wind12hnumeric246 unique values
5 missing
humid12hnumeric28 unique values
5 missing
press12hnumeric315 unique values
5 missing
rain12hnumeric15 unique values
5 missing
desc24hnominal8 unique values
17 missing
temp24hnumeric316 unique values
17 missing
wind24hnumeric246 unique values
17 missing
humid24hnumeric29 unique values
17 missing
press24hnumeric301 unique values
17 missing
rain24hnumeric16 unique values
17 missing
openclosednominal1 unique values
0 missing
capacitynumeric1 unique values
0 missing
hist6h_availbikesnumeric26 unique values
6 missing
hist6h_availstandsnumeric26 unique values
6 missing
hist6h_statusnominal5 unique values
6 missing
hist6h_availdiffnumeric35 unique values
6 missing
hist12h_availbikesnumeric26 unique values
12 missing
hist12h_availstandsnumeric26 unique values
12 missing
hist12h_statusnominal5 unique values
12 missing
hist12h_availdiffnumeric35 unique values
12 missing
hist24h_availbikesnumeric26 unique values
24 missing
hist24h_availstandsnumeric26 unique values
24 missing
hist24h_statusnominal5 unique values
24 missing
hist24h_availdiffnumeric35 unique values
24 missing
hist7d_availbikesnumeric26 unique values
168 missing
hist7d_availstandsnumeric26 unique values
168 missing
hist7d_statusnominal5 unique values
168 missing
hist7d_availdiffnumeric31 unique values
168 missing
target_availbikesnumeric26 unique values
0 missing
target_availstandsnumeric26 unique values
0 missing
target_statusnominal5 unique values
0 missing
target_availdiffnumeric35 unique values
0 missing

107 properties

486
Number of instances (rows) of the dataset.
45
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
972
Number of missing values in the dataset.
168
Number of instances with at least one value missing.
36
Number of numeric attributes.
9
Number of nominal attributes.
8
The maximum number of distinct values among attributes of the nominal type.
-2.01
Minimum skewness among attributes of the numeric type.
34.57
Percentage of instances having missing values.
Third quartile of entropy among attributes.
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.
4.98
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
4.44
Percentage of missing values.
3.48
Third quartile of kurtosis among attributes of the numeric type.
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
505585.36
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
80
Percentage of numeric attributes.
22.01
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
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
20
Percentage of nominal attributes.
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
2.68
Mean kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
0.84
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
39239806.06
Mean of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-1.11
First quartile of kurtosis among attributes of the numeric type.
7.36
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
Average mutual information between the nominal attributes and the target attribute.
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
6.48
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
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
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
5.56
Average number of distinct values among the attributes of the nominal type.
-0.25
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
2.24
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
0.38
Mean skewness among attributes of the numeric type.
2.79
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
14049.1
Mean standard deviation of attributes of the numeric type.
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
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0.65
Second quartile (Median) of kurtosis among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
Entropy of the target attribute values.
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Number of instances belonging to the most frequent class.
-1.22
Minimum kurtosis among attributes of the numeric type.
11.99
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
Maximum entropy among attributes.
0
Minimum of means among attributes of the numeric type.
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
33.77
Maximum kurtosis among attributes of the numeric type.
1412627400
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0.1
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
Maximum mutual information between the nominal attributes and the target attribute.
1
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
6.84
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
0.09
Number of attributes divided by the number of instances.

4 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: target_availbikes
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task