Run
2042092

Run 2042092

Task 145685 (Supervised Classification) creditcard Uploaded 16-04-2017 by Wouter Nuijten
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_RandomForest(1)Weka implementation of CostSensitiveClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.AdaBoostM1_RandomForest(6)_P100
weka.AdaBoostM1_RandomForest(6)_S1
weka.AdaBoostM1_RandomForest(6)_I10
weka.AdaBoostM1_RandomForest(6)_Wweka.classifiers.trees.RandomForest
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_RandomForest(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_RandomForest(1)_S1
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_AdaBoostM1_RandomForest(1)_Fweka.filters.unsupervised.instance.Resample -S 1 -Z 5.0
weka.FilteredClassifier_AdaBoostM1_RandomForest(1)_Wweka.classifiers.meta.AdaBoostM1

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.

17 Evaluation measures

Area under ROC curve
0.9774
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1256
Cross-validation details (10-fold Crossvalidation)
F measure
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7112
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-22074841.5756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0153
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0035
Cross-validation details (10-fold Crossvalidation)
Number of instances
284807
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9988
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.4282
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0468
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1269
Cross-validation details (10-fold Crossvalidation)
Total cost
35770
Cross-validation details (10-fold Crossvalidation)