Run
2927

Run 2927

Task 2150 (Supervised Data Stream Classification) BNG(mfeat-zernike) Uploaded 29-04-2014 by Jan van Rijn
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Flow

moa.RandomHoeffdingTree(1)Moa implementation of RandomHoeffdingTree
moa.RandomHoeffdingTree(1)_bfalse
moa.RandomHoeffdingTree(1)_c1.0E-7
moa.RandomHoeffdingTree(1)_dNominalAttributeClassObserver
moa.RandomHoeffdingTree(1)_e1000000
moa.RandomHoeffdingTree(1)_g200
moa.RandomHoeffdingTree(1)_lNBAdaptive
moa.RandomHoeffdingTree(1)_m33554432
moa.RandomHoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.RandomHoeffdingTree(1)_pfalse
moa.RandomHoeffdingTree(1)_q0
moa.RandomHoeffdingTree(1)_r1
moa.RandomHoeffdingTree(1)_sInfoGainSplitCriterion
moa.RandomHoeffdingTree(1)_t0.05
moa.RandomHoeffdingTree(1)_zfalse

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.

20 Evaluation measures

Area under ROC curve
0.884
Per class
Confusion matrix
F measure
0.5071
Per class
Kappa
0.4609
KB relative information score
487889.653
Mean absolute error
0.1197
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.5036
Per class
Predictive accuracy
0.5148
Prior entropy
3.3219
Ram hours
0
Recall
0.5148
Per class
Relative absolute error
0.665
Root mean prior squared error
0.3
Root mean squared error
0.2495
Root relative squared error
0.8317
Run CPU time
50.59