Run
527388

Run 527388

Task 7316 (Supervised Data Stream Classification) vehicleNorm Uploaded 20-02-2016 by Jan van Rijn
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Flow

moa.StackingAttempt_HoeffdingTree(1)Moa implementation of StackingAttempt
moa.HoeffdingTree(5)_m33554432
moa.HoeffdingTree(5)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(5)_dNominalAttributeClassObserver
moa.HoeffdingTree(5)_e1000000
moa.HoeffdingTree(5)_g200
moa.HoeffdingTree(5)_sInfoGainSplitCriterion
moa.HoeffdingTree(5)_c1.0E-7
moa.HoeffdingTree(5)_t0.05
moa.HoeffdingTree(5)_bfalse
moa.HoeffdingTree(5)_zfalse
moa.HoeffdingTree(5)_rfalse
moa.HoeffdingTree(5)_pfalse
moa.HoeffdingTree(5)_lNBAdaptive
moa.HoeffdingTree(5)_q0
moa.StackingAttempt_HoeffdingTree(1)_bbayes.NaiveBayes,functions.Perceptron,functions.SGD,functions.SPegasos,lazy.kNN,rules.RuleClassifier,trees.HoeffdingOptionTree,trees.HoeffdingTree,trees.RandomHoeffdingTree
moa.StackingAttempt_HoeffdingTree(1)_mmoa.classifiers.trees.HoeffdingTree
moa.StackingAttempt_HoeffdingTree(1)_cfalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.8884
Per class
Confusion matrix
F measure
0.8374
Per class
Kappa
0.6793
KB relative information score
65649.187
Mean absolute error
0.1689
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.8598
Per class
Predictive accuracy
0.8397
Prior entropy
1
Recall
0.8397
Per class
Relative absolute error
0.3377
Root mean prior squared error
0.5
Root mean squared error
0.3852
Root relative squared error
0.7705