Run
1842932

Run 1842932

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Michiel Verburg
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Flow

weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree(2)Weka implementation of FilteredClassifier
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.009
weka.RandomTree(11)_S1
weka.RandomTree(11)_depth9
weka.RandomTree(11)_Btrue
weka.RandomTree(11)_num-decimal-places10
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_Mtrue
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_cost-matrix[0.0 1.0; 8.61 0.0]
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_S1
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_num-decimal-places10
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots4
weka.Bagging_RandomTree(9)_I1050
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(9)_num-decimal-places10
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree(2)_Fweka.filters.supervised.instance.ClassBalancer
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree(2)_Wweka.classifiers.meta.CostSensitiveClassifier

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
0.6028
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.7065
Cross-validation details (10-fold Crossvalidation)
F measure
0.3458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.079
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-16115.4609
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6597
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
0.8636
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3403
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.3403
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.397
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.8122
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.1897
Cross-validation details (10-fold Crossvalidation)
Total cost
5919
Cross-validation details (10-fold Crossvalidation)