Run
1841699

Run 1841699

Task 125966 (Supervised Classification) SpeedDating Uploaded 01-12-2016 by M. van Nijnatten
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Flow

weka.Bagging_LogitBoost_DecisionStump(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.DecisionStump(5)_num-decimal-places8
weka.Bagging_LogitBoost_DecisionStump(1)_P100
weka.Bagging_LogitBoost_DecisionStump(1)_Otrue
weka.Bagging_LogitBoost_DecisionStump(1)_S1
weka.Bagging_LogitBoost_DecisionStump(1)_num-slots4
weka.Bagging_LogitBoost_DecisionStump(1)_I35
weka.Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.Bagging_LogitBoost_DecisionStump(1)_num-decimal-places8
weka.LogitBoost_DecisionStump(6)_Qtrue
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z0.6
weka.LogitBoost_DecisionStump(6)_O4
weka.LogitBoost_DecisionStump(6)_E32
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I250
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(6)_num-decimal-places8

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
0.8696
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8557
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4333
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1727.4055
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1909
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
0.8561
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8704
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8704
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6938
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3073
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8284
Cross-validation details (10-fold Crossvalidation)
Total cost