Run
160476

Run 160476

Task 6801 (Supervised Data Stream Classification) vehicle_sensIT Uploaded 14-02-2015 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.

18 Evaluation measures

Area under ROC curve
0.83
Per class
Confusion matrix
F measure
0.8304
Per class
Kappa
0.6617
KB relative information score
54839.8834
Mean absolute error
0.2355
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.8344
Per class
Predictive accuracy
0.8309
Prior entropy
1
Recall
0.8309
Per class
Relative absolute error
0.471
Root mean prior squared error
0.5
Root mean squared error
0.3817
Root relative squared error
0.7635