Run
1843201

Run 1843201

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Aleksandr Popov
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Flow

weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(1)Weka implementation of CostSensitiveClassifier
weka.RandomForest(9)_I300
weka.RandomForest(9)_K20
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots4
weka.RandomForest(9)_Btrue
weka.RandomForest(9)_num-decimal-places4
weka.FilteredClassifier_RandomForest(2)_Fweka.filters.supervised.attribute.AttributeSelection -E "weka.attributeSelection.CorrelationAttributeEval " -S "weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1"
weka.FilteredClassifier_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.FilteredClassifier_RandomForest(2)_num-decimal-places4
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_Mtrue
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_S1
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest(1)_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
0.5659
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.752
Cross-validation details (10-fold Crossvalidation)
F measure
0.2506
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0478
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-18455.1141
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.7227
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
0.8614
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2773
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.2773
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.626
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.8501
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.2919
Cross-validation details (10-fold Crossvalidation)
Total cost
6300
Cross-validation details (10-fold Crossvalidation)