Run
498381

Run 498381

Task 10106 (Supervised Classification) CreditCardSubset Uploaded 04-12-2015 by Guido Santegoeds
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveCl assifier_AdaBoostM1_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Eweka.attributeSelection.PrincipalComponents
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree(1)_num-decimal-places4
weka.PrincipalComponents(14)_R0.95
weka.PrincipalComponents(14)_A5
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(4)_Mtrue
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(4)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(4)_S1
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(4)_Wweka.classifiers.meta.AdaBoostM1
weka.CostSensitiveClassifier_AdaBoostM1_REPTree(4)_output-debug-infotrue
weka.AdaBoostM1_REPTree(6)_P100
weka.AdaBoostM1_REPTree(6)_S1
weka.AdaBoostM1_REPTree(6)_I20
weka.AdaBoostM1_REPTree(6)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7607
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.3866
Cross-validation details (10-fold Crossvalidation)
F measure
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5995
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5516.4747
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0033
Cross-validation details (10-fold Crossvalidation)
Number of instances
14240
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_31, x86_64, Mac OS X, 10.10.5]
Precision
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9989
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.018
Cross-validation details (10-fold Crossvalidation)
Recall
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.341
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0402
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0335
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8347
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1846.3321
Total cost
5505
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1398.28
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
39.097
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1359.183
Cross-validation details (10-fold Crossvalidation)