Run
160485

Run 160485

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

18 Evaluation measures

Area under ROC curve
0.8536
Per class
Confusion matrix
F measure
0.8199
Per class
Kappa
0.6423
KB relative information score
51769.4243
Mean absolute error
0.2517
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.8301
Per class
Predictive accuracy
0.8212
Prior entropy
1
Recall
0.8212
Per class
Relative absolute error
0.5034
Root mean prior squared error
0.5
Root mean squared error
0.3771
Root relative squared error
0.7543