Run
3364

Run 3364

Task 2251 (Supervised Data Stream Classification) eucalyptus Uploaded 30-04-2014 by Jan van Rijn
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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
0.794
Per class
Confusion matrix
F measure
0.5052
Per class
Kappa
0.3691
KB relative information score
321.8839
Mean absolute error
0.2043
Mean prior absolute error
0.32
Number of instances
736
Per class
Precision
0.535
Per class
Predictive accuracy
0.5136
Prior entropy
2.3219
Ram hours
0
Recall
0.5136
Per class
Relative absolute error
0.6385
Root mean prior squared error
0.4
Root mean squared error
0.396
Root relative squared error
0.9901
Run CPU time
0.04