Run
3298

Run 3298

Task 2248 (Supervised Data Stream Classification) kropt 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
0.9977
Per class
Confusion matrix
F measure
0.9279
Per class
Kappa
0.9184
KB relative information score
26531.8191
Mean absolute error
0.0093
Mean prior absolute error
0.1049
Number of instances
28056
Per class
Precision
0.9348
Per class
Predictive accuracy
0.927
Prior entropy
4.1699
Ram hours
0
Recall
0.927
Per class
Relative absolute error
0.0883
Root mean prior squared error
0.2291
Root mean squared error
0.0758
Root relative squared error
0.3308
Run CPU time
0.48