Run
1835166

Run 1835166

Task 2227 (Supervised Data Stream Classification) iris 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
0.5
Per class
Confusion matrix
F measure
0.1667
Per class
KB relative information score
13.093
Mean absolute error
0.4444
Mean prior absolute error
0.4444
Number of instances
150
Per class
Precision
0.1111
Per class
Predictive accuracy
0.3333
Prior entropy
1.585
Recall
0.3333
Per class
Relative absolute error
1
Root mean prior squared error
0.4714
Root mean squared error
0.6667
Root relative squared error
1.4142