Run
1842528

Run 1842528

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

weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree(1)Weka implementation of FilteredClassifier
weka.RandomTree(12)_K0
weka.RandomTree(12)_M1.0
weka.RandomTree(12)_V0.001
weka.RandomTree(12)_S1
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree(1)_Fweka.filters.supervised.instance.SMOTE -C 0 -K 5 -P 100.0 -S 1
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_S1
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_Wweka.classifiers.meta.Bagging
weka.Bagging_RandomTree(11)_P100
weka.Bagging_RandomTree(11)_S1
weka.Bagging_RandomTree(11)_num-slots1
weka.Bagging_RandomTree(11)_I10
weka.Bagging_RandomTree(11)_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
0.7293
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.8346
Cross-validation details (10-fold Crossvalidation)
F measure
0.0601
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0024
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-20976.1863
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.7583
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
0.8479
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1713
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.1713
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.7553
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.8318
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.2425
Cross-validation details (10-fold Crossvalidation)
Total cost
6992
Cross-validation details (10-fold Crossvalidation)