Run
1843214

Run 1843214

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

weka.Bagging_LogitBoost_DecisionStump(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.LogitBoost_DecisionStump(10)_P100
weka.LogitBoost_DecisionStump(10)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(10)_H1.0
weka.LogitBoost_DecisionStump(10)_Z1.32
weka.LogitBoost_DecisionStump(10)_O10
weka.LogitBoost_DecisionStump(10)_E32
weka.LogitBoost_DecisionStump(10)_S1
weka.LogitBoost_DecisionStump(10)_I250
weka.LogitBoost_DecisionStump(10)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(10)_num-decimal-places8
weka.LogitBoost_DecisionStump(10)_batch-size
weka.Bagging_LogitBoost_DecisionStump(3)_P100
weka.Bagging_LogitBoost_DecisionStump(3)_Otrue
weka.Bagging_LogitBoost_DecisionStump(3)_S1
weka.Bagging_LogitBoost_DecisionStump(3)_num-slots4
weka.Bagging_LogitBoost_DecisionStump(3)_I35
weka.Bagging_LogitBoost_DecisionStump(3)_Wweka.classifiers.meta.LogitBoost

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
0.8705
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
4.9105
Cross-validation details (10-fold Crossvalidation)
F measure
0.8547
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4329
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1810.0556
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1878
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
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8679
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8679
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6822
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3072
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8283
Cross-validation details (10-fold Crossvalidation)
Total cost
41140
Cross-validation details (10-fold Crossvalidation)