Run
1841390

Run 1841390

Task 125966 (Supervised Classification) SpeedDating Uploaded 27-11-2016 by J B
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Flow

weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)Weka implementation of IterativeClassifierOptimizer
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_L100
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_P8
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_E8
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_R2
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_metricPrecision
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(7)_P100
weka.LogitBoost_DecisionStump(7)_L-Infinity
weka.LogitBoost_DecisionStump(7)_H0.605
weka.LogitBoost_DecisionStump(7)_Z2.8
weka.LogitBoost_DecisionStump(7)_O6
weka.LogitBoost_DecisionStump(7)_E6
weka.LogitBoost_DecisionStump(7)_S1
weka.LogitBoost_DecisionStump(7)_I1
weka.LogitBoost_DecisionStump(7)_Wweka.classifiers.trees.DecisionStump

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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7603
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-13932.5699
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5
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
0.6977
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8353
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8353
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.8167
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.348
Cross-validation details (10-fold Crossvalidation)