Run
1842414

Run 1842414

Task 125966 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Johann Slabber
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Flow

weka.CostSensitiveClassifier_Bagging_LogitBoost_RandomTree(1)Weka implementation of CostSensitiveClassifier
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.CostSensitiveClassifier_Bagging_LogitBoost_RandomTree(1)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_Bagging_LogitBoost_RandomTree(1)_S1
weka.CostSensitiveClassifier_Bagging_LogitBoost_RandomTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_LogitBoost_RandomTree(1)_P100
weka.Bagging_LogitBoost_RandomTree(1)_S1
weka.Bagging_LogitBoost_RandomTree(1)_num-slots1
weka.Bagging_LogitBoost_RandomTree(1)_I10
weka.Bagging_LogitBoost_RandomTree(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_RandomTree(2)_P100
weka.LogitBoost_RandomTree(2)_L-1.7976931348623157E308
weka.LogitBoost_RandomTree(2)_H1.0
weka.LogitBoost_RandomTree(2)_Z3.0
weka.LogitBoost_RandomTree(2)_O1
weka.LogitBoost_RandomTree(2)_E1
weka.LogitBoost_RandomTree(2)_S1
weka.LogitBoost_RandomTree(2)_I10
weka.LogitBoost_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.8464
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.637
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2339
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-8691.6709
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4237
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
0.8617
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5882
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.5882
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.5395
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5488
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4795
Cross-validation details (10-fold Crossvalidation)