Run
1842215

Run 1842215

Task 125968 (Supervised Classification) SpeedDating Uploaded 04-12-2016 by Kevin Chang
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Flow

weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)Weka implementation of IterativeClassifierOptimizer
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_L50
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_P1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_E1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_R1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_metricCorrect
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(7)_P100
weka.LogitBoost_DecisionStump(7)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(7)_H1.0
weka.LogitBoost_DecisionStump(7)_Z3.0
weka.LogitBoost_DecisionStump(7)_O1
weka.LogitBoost_DecisionStump(7)_E1
weka.LogitBoost_DecisionStump(7)_S1
weka.LogitBoost_DecisionStump(7)_I100
weka.LogitBoost_DecisionStump(7)_Wweka.classifiers.trees.DecisionStump

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
0.8531
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
5.2128
Cross-validation details (10-fold Crossvalidation)
F measure
0.8432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3868
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1563.5691
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.193
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
0.8403
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.858
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7013
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3163
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8528
Cross-validation details (10-fold Crossvalidation)
Total cost
43673
Cross-validation details (10-fold Crossvalidation)