Run
1842382

Run 1842382

Task 125966 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by J KT
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Flow

weka.Bagging_LogitBoost_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LogitBoost_DecisionStump(2)_P100
weka.Bagging_LogitBoost_DecisionStump(2)_Otrue
weka.Bagging_LogitBoost_DecisionStump(2)_S1
weka.Bagging_LogitBoost_DecisionStump(2)_num-slots4
weka.Bagging_LogitBoost_DecisionStump(2)_I90
weka.Bagging_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.Bagging_LogitBoost_DecisionStump(2)_num-decimal-places6
weka.LogitBoost_DecisionStump(9)_Qtrue
weka.LogitBoost_DecisionStump(9)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(9)_H1.0
weka.LogitBoost_DecisionStump(9)_Z1.3
weka.LogitBoost_DecisionStump(9)_O4
weka.LogitBoost_DecisionStump(9)_E32
weka.LogitBoost_DecisionStump(9)_S1
weka.LogitBoost_DecisionStump(9)_I450
weka.LogitBoost_DecisionStump(9)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(9)_batch-size
weka.DecisionStump(6)_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
0.8725
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.858
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4518
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1981.0387
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1811
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
0.8554
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8685
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8685
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6578
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3075
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.829
Cross-validation details (10-fold Crossvalidation)