Run
1843228

Run 1843228

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Sjef van Loo
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Flow

weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)Weka implementation of CostSensitiveClassifier
weka.Bagging_LogitBoost_DecisionStump(2)_P100
weka.Bagging_LogitBoost_DecisionStump(2)_printtrue
weka.Bagging_LogitBoost_DecisionStump(2)_S1
weka.Bagging_LogitBoost_DecisionStump(2)_num-slots1
weka.Bagging_LogitBoost_DecisionStump(2)_I50
weka.Bagging_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_DecisionStump(9)_P100
weka.LogitBoost_DecisionStump(9)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(9)_H1.0
weka.LogitBoost_DecisionStump(9)_Z3.0
weka.LogitBoost_DecisionStump(9)_O1
weka.LogitBoost_DecisionStump(9)_E1
weka.LogitBoost_DecisionStump(9)_S1
weka.LogitBoost_DecisionStump(9)_I50
weka.LogitBoost_DecisionStump(9)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(9)_batch-size
weka.DecisionStump(6)_batch-size101
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)_S1
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.Bagging

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
0.8566
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.7665
Cross-validation details (10-fold Crossvalidation)
F measure
0.4959
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1416
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-12969.0689
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5251
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
0.8604
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4557
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.4557
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.9078
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6277
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.6924
Cross-validation details (10-fold Crossvalidation)
Total cost
6422
Cross-validation details (10-fold Crossvalidation)