Run
1990802

Run 1990802

Task 145685 (Supervised Classification) creditcard Uploaded 06-04-2017 by Titus Kervezee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)Weka implementation of MultiSearch
weka.SimpleLogistic(6)_I0
weka.SimpleLogistic(6)_M500
weka.SimpleLogistic(6)_H50
weka.SimpleLogistic(6)_W0.0
weka.CostSensitiveClassifier_SimpleLogistic(2)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_SimpleLogistic(2)_S1
weka.CostSensitiveClassifier_SimpleLogistic(2)_Wweka.classifiers.functions.SimpleLogistic
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_ECC
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_class-label1
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_search[weka.core.setupgenerator.MathParameter -property ridge -min -10.0 -max 5.0 -step 1.0 -base 10.0 -expression pow(BASE,I)]
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_S1
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic(1)_Wweka.classifiers.meta.CostSensitiveClassifier

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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.977
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.1044
Cross-validation details (10-fold Crossvalidation)
F measure
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1408
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-69241466.3756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0771
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
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9814
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0184
Cross-validation details (10-fold Crossvalidation)
Recall
0.9814
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
22.3447
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.4004
Cross-validation details (10-fold Crossvalidation)
Total cost
29739
Cross-validation details (10-fold Crossvalidation)