Run
1835220

Run 1835220

Task 7316 (Supervised Data Stream Classification) vehicleNorm Uploaded 26-10-2016 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_HoeffdingTree(1)Moa implementation of AccuracyWeightedEnsemble
moa.HoeffdingTree(7)_m33554432
moa.HoeffdingTree(7)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(7)_dNominalAttributeClassObserver
moa.HoeffdingTree(7)_e1000
moa.HoeffdingTree(7)_g100
moa.HoeffdingTree(7)_sInfoGainSplitCriterion
moa.HoeffdingTree(7)_c0.01
moa.HoeffdingTree(7)_t0.05
moa.HoeffdingTree(7)_bfalse
moa.HoeffdingTree(7)_zfalse
moa.HoeffdingTree(7)_rfalse
moa.HoeffdingTree(7)_pfalse
moa.HoeffdingTree(7)_lNB
moa.HoeffdingTree(7)_q0
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_n128.0
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_r256.0
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_c1000
moa.AccuracyWeightedEnsemble_HoeffdingTree(1)_f10

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
0.8639
Per class
Confusion matrix
F measure
0.8184
Per class
Kappa
0.6372
KB relative information score
58924.9295
Mean absolute error
0.2055
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.82
Per class
Predictive accuracy
0.8186
Prior entropy
1
Recall
0.8186
Per class
Relative absolute error
0.411
Root mean prior squared error
0.5
Root mean squared error
0.3892
Root relative squared error
0.7785