Run
1843116

Run 1843116

Task 125969 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Michiel Verburg
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Flow

weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_Decision Stump(2)Weka implementation of FilteredClassifier
weka.DecisionStump(7)_num-decimal-places6
weka.LogitBoost_DecisionStump(10)_Qtrue
weka.LogitBoost_DecisionStump(10)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(10)_H1.0
weka.LogitBoost_DecisionStump(10)_Z3.0
weka.LogitBoost_DecisionStump(10)_O1
weka.LogitBoost_DecisionStump(10)_E1
weka.LogitBoost_DecisionStump(10)_S1
weka.LogitBoost_DecisionStump(10)_I10
weka.LogitBoost_DecisionStump(10)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(10)_num-decimal-places6
weka.LogitBoost_DecisionStump(10)_batch-size
weka.Bagging_LogitBoost_DecisionStump(3)_P100
weka.Bagging_LogitBoost_DecisionStump(3)_S1
weka.Bagging_LogitBoost_DecisionStump(3)_num-slots1
weka.Bagging_LogitBoost_DecisionStump(3)_I10
weka.Bagging_LogitBoost_DecisionStump(3)_Wweka.classifiers.meta.LogitBoost
weka.Bagging_LogitBoost_DecisionStump(3)_num-decimal-places6
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(3)_cost-matrix[0.0 2.0; 1.0 0.0]
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(3)_S1
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(3)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(3)_num-decimal-places6
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)_Fweka.filters.supervised.instance.ClassBalancer
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(2)_num-decimal-places6

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
0.8397
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2454
Cross-validation details (10-fold Crossvalidation)
F measure
0.8282
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4168
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1437.4712
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2602
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
0.843
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9455
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3515
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9477
Cross-validation details (10-fold Crossvalidation)
Total cost
2056
Cross-validation details (10-fold Crossvalidation)