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Task 2221 (Supervised Data Stream Classification) vehicle Uploaded 30-04-2014 by Jason
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Flow

moa.HoeffdingAdaptiveTree(1)Moa implementation of HoeffdingAdaptiveTree
moa.HoeffdingAdaptiveTree(1)_bfalse
moa.HoeffdingAdaptiveTree(1)_c1.0E-7
moa.HoeffdingAdaptiveTree(1)_dNominalAttributeClassObserver
moa.HoeffdingAdaptiveTree(1)_e1000000
moa.HoeffdingAdaptiveTree(1)_g200
moa.HoeffdingAdaptiveTree(1)_lNBAdaptive
moa.HoeffdingAdaptiveTree(1)_m33554432
moa.HoeffdingAdaptiveTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingAdaptiveTree(1)_pfalse
moa.HoeffdingAdaptiveTree(1)_q0
moa.HoeffdingAdaptiveTree(1)_rfalse
moa.HoeffdingAdaptiveTree(1)_sInfoGainSplitCriterion
moa.HoeffdingAdaptiveTree(1)_t0.05
moa.HoeffdingAdaptiveTree(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
0.7358
Per class
Confusion matrix
F measure
0.3936
Per class
Kappa
0.2446
KB relative information score
260.7289
Mean absolute error
0.2924
Mean prior absolute error
0.375
Number of instances
846
Per class
Precision
0.4723
Per class
Predictive accuracy
0.4291
Prior entropy
2
Ram hours
0
Recall
0.4291
Per class
Relative absolute error
0.7799
Root mean prior squared error
0.433
Root mean squared error
0.4809
Root relative squared error
1.1105
Run CPU time
0.03