Run
1842285

Run 1842285

Task 125968 (Supervised Classification) SpeedDating Uploaded 04-12-2016 by Johann Slabber
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Flow

weka.Bagging_LogitBoost_REPTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_LogitBoost_REPTree(2)_P100
weka.Bagging_LogitBoost_REPTree(2)_S1
weka.Bagging_LogitBoost_REPTree(2)_num-slots1
weka.Bagging_LogitBoost_REPTree(2)_I10
weka.Bagging_LogitBoost_REPTree(2)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_REPTree(5)_P100
weka.LogitBoost_REPTree(5)_L-1.7976931348623157E308
weka.LogitBoost_REPTree(5)_H1.0
weka.LogitBoost_REPTree(5)_Z3.0
weka.LogitBoost_REPTree(5)_O1
weka.LogitBoost_REPTree(5)_E1
weka.LogitBoost_REPTree(5)_S1
weka.LogitBoost_REPTree(5)_I10
weka.LogitBoost_REPTree(5)_Wweka.classifiers.trees.REPTree

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
0.7769
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
6.4495
Cross-validation details (10-fold Crossvalidation)
F measure
0.818
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2611
Cross-validation details (10-fold Crossvalidation)
KB relative information score
787.0884
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.217
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
0.8238
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8495
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8495
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7885
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3368
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9079
Cross-validation details (10-fold Crossvalidation)
Total cost
54034
Cross-validation details (10-fold Crossvalidation)