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german.numer

german.numer

active Sparse_ARFF Publicly available Visibility: public Uploaded 02-06-2015 by Farooq Zuberi
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25 features

class (target)numeric2 unique values
0 missing
att_1numeric4 unique values
0 missing
att_2numeric33 unique values
0 missing
att_3numeric5 unique values
0 missing
att_4numeric125 unique values
0 missing
att_5numeric5 unique values
0 missing
att_6numeric5 unique values
0 missing
att_7numeric4 unique values
0 missing
att_8numeric4 unique values
0 missing
att_9numeric4 unique values
0 missing
att_10numeric53 unique values
0 missing
att_11numeric3 unique values
0 missing
att_12numeric4 unique values
0 missing
att_13numeric2 unique values
0 missing
att_14numeric2 unique values
0 missing
att_15numeric2 unique values
0 missing
att_16numeric2 unique values
0 missing
att_17numeric2 unique values
0 missing
att_18numeric2 unique values
0 missing
att_19numeric2 unique values
0 missing
att_20numeric2 unique values
0 missing
att_21numeric2 unique values
0 missing
att_22numeric2 unique values
0 missing
att_23numeric2 unique values
0 missing
att_24numeric2 unique values
0 missing

19 properties

1000
Number of instances (rows) of the dataset.
25
Number of attributes (columns) of the dataset.
0
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.
25
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of instances having missing values.
0.14
Average class difference between consecutive instances.
0
Percentage of missing values.
0.03
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.

17 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - 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
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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