Run
1842439

Run 1842439

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Adriaan Knapen
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Flow

weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_Decisi onStump(2)Weka implementation of CostSensitiveClassifier
weka.DecisionStump(7)_batch-size80
weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_S1
weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.IterativeClassifierOptimizer
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_L50
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_P10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_E10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_R1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_metricRMSE
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(3)_S1
weka.LogitBoost_DecisionStump(10)_P100
weka.LogitBoost_DecisionStump(10)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(10)_H1.0
weka.LogitBoost_DecisionStump(10)_Z3.0
weka.LogitBoost_DecisionStump(10)_O10
weka.LogitBoost_DecisionStump(10)_E10
weka.LogitBoost_DecisionStump(10)_S1
weka.LogitBoost_DecisionStump(10)_I10
weka.LogitBoost_DecisionStump(10)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(10)_batch-size

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
0.8192
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.7717
Cross-validation details (10-fold Crossvalidation)
F measure
0.4326
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1104
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14518.8005
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5727
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
0.8583
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4038
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.4038
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.081
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6765
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.8239
Cross-validation details (10-fold Crossvalidation)
Total cost
6465
Cross-validation details (10-fold Crossvalidation)