Run
1843227

Run 1843227

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Michiel Verburg
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Flow

weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_Decision Stump(1)Weka implementation of FilteredClassifier
weka.Bagging_LogitBoost_DecisionStump(1)_P100
weka.Bagging_LogitBoost_DecisionStump(1)_S1
weka.Bagging_LogitBoost_DecisionStump(1)_num-slots4
weka.Bagging_LogitBoost_DecisionStump(1)_I10
weka.Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.Bagging_LogitBoost_DecisionStump(1)_num-decimal-places6
weka.LogitBoost_DecisionStump(6)_Qtrue
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z3.0
weka.LogitBoost_DecisionStump(6)_O4
weka.LogitBoost_DecisionStump(6)_E4
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I10
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(6)_num-decimal-places6
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_cost-matrix[0.0 1.0; 11.8 0.0]
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_S1
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_num-decimal-places6
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_Fweka.filters.supervised.instance.ClassBalancer
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_num-decimal-places6

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
0.8423
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.717
Cross-validation details (10-fold Crossvalidation)
F measure
0.3724
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0881
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-15577.3464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5932
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8622
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.359
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.359
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.1553
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6854
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.8477
Cross-validation details (10-fold Crossvalidation)
Total cost
6007
Cross-validation details (10-fold Crossvalidation)