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BNG(spambase)

BNG(spambase)

active ARFF Publicly available Visibility: public Uploaded 09-04-2014 by Jan van Rijn
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58 features

class (target)nominal2 unique values
0 missing
word_freq_makenominal3 unique values
0 missing
word_freq_addressnominal3 unique values
0 missing
word_freq_allnominal3 unique values
0 missing
word_freq_3dnominal3 unique values
0 missing
word_freq_ournominal3 unique values
0 missing
word_freq_overnominal3 unique values
0 missing
word_freq_removenominal3 unique values
0 missing
word_freq_internetnominal3 unique values
0 missing
word_freq_ordernominal3 unique values
0 missing
word_freq_mailnominal3 unique values
0 missing
word_freq_receivenominal3 unique values
0 missing
word_freq_willnominal3 unique values
0 missing
word_freq_peoplenominal3 unique values
0 missing
word_freq_reportnominal3 unique values
0 missing
word_freq_addressesnominal3 unique values
0 missing
word_freq_freenominal3 unique values
0 missing
word_freq_businessnominal3 unique values
0 missing
word_freq_emailnominal3 unique values
0 missing
word_freq_younominal3 unique values
0 missing
word_freq_creditnominal3 unique values
0 missing
word_freq_yournominal3 unique values
0 missing
word_freq_fontnominal3 unique values
0 missing
word_freq_000nominal3 unique values
0 missing
word_freq_moneynominal3 unique values
0 missing
word_freq_hpnominal3 unique values
0 missing
word_freq_hplnominal3 unique values
0 missing
word_freq_georgenominal3 unique values
0 missing
word_freq_650nominal3 unique values
0 missing
word_freq_labnominal3 unique values
0 missing
word_freq_labsnominal3 unique values
0 missing
word_freq_telnetnominal3 unique values
0 missing
word_freq_857nominal3 unique values
0 missing
word_freq_datanominal3 unique values
0 missing
word_freq_415nominal3 unique values
0 missing
word_freq_85nominal3 unique values
0 missing
word_freq_technologynominal3 unique values
0 missing
word_freq_1999nominal3 unique values
0 missing
word_freq_partsnominal3 unique values
0 missing
word_freq_pmnominal3 unique values
0 missing
word_freq_directnominal3 unique values
0 missing
word_freq_csnominal3 unique values
0 missing
word_freq_meetingnominal3 unique values
0 missing
word_freq_originalnominal3 unique values
0 missing
word_freq_projectnominal3 unique values
0 missing
word_freq_renominal3 unique values
0 missing
word_freq_edunominal3 unique values
0 missing
word_freq_tablenominal3 unique values
0 missing
word_freq_conferencenominal3 unique values
0 missing
char_freq_%3Bnominal3 unique values
0 missing
char_freq_%28nominal3 unique values
0 missing
char_freq_%5Bnominal3 unique values
0 missing
char_freq_%21nominal3 unique values
0 missing
char_freq_%24nominal3 unique values
0 missing
char_freq_%23nominal3 unique values
0 missing
capital_run_length_averagenominal3 unique values
0 missing
capital_run_length_longestnominal3 unique values
0 missing
capital_run_length_totalnominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
58
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.
0
Number of numeric attributes.
58
Number of nominal attributes.
1
Number of binary attributes.
1.72
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.52
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
60.59
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
605948
Number of instances belonging to the most frequent class.
39.41
Percentage of instances belonging to the least frequent class.
394052
Number of instances belonging to the least frequent class.

26 tasks

5 runs - estimation_procedure: 10-fold Crossvalidation - 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: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
214 runs - estimation_procedure: Interleaved Test then Train - 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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