Run
1842089

Run 1842089

Task 125966 (Supervised Classification) SpeedDating Uploaded 03-12-2016 by J B
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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-places4
weka.Bagging_LogitBoost_DecisionStump(1)_P100
weka.Bagging_LogitBoost_DecisionStump(1)_S1
weka.Bagging_LogitBoost_DecisionStump(1)_num-slots5
weka.Bagging_LogitBoost_DecisionStump(1)_I75
weka.Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.Bagging_LogitBoost_DecisionStump(1)_num-decimal-places4
weka.LogitBoost_DecisionStump(6)_Qtrue
weka.LogitBoost_DecisionStump(6)_L-Infinity
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z1.30703
weka.LogitBoost_DecisionStump(6)_O3
weka.LogitBoost_DecisionStump(6)_E5
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I100
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(6)_num-decimal-places4

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
0.8681
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8536
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4267
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1705.7027
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.191
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
0.8527
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8676
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8676
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.694
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3082
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8309
Cross-validation details (10-fold Crossvalidation)