Run
1835203

Run 1835203

Task 2159 (Supervised Data Stream Classification) BNG(dermatology) 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
0.999
Per class
Confusion matrix
F measure
0.9856
Per class
Kappa
0.982
KB relative information score
980464.8616
Mean absolute error
0.008
Mean prior absolute error
0.2778
Number of instances
1000000
Per class
Precision
0.9856
Per class
Predictive accuracy
0.9856
Prior entropy
2.585
Recall
0.9856
Per class
Relative absolute error
0.0288
Root mean prior squared error
0.3727
Root mean squared error
0.0609
Root relative squared error
0.1635