Run
160430

Run 160430

Task 6801 (Supervised Data Stream Classification) vehicle_sensIT Uploaded 14-02-2015 by Jan van Rijn
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Flow

moa.OzaBagAdwin_HoeffdingTree(1)Moa implementation of OzaBagAdwin
moa.HoeffdingTree(1)_bfalse
moa.HoeffdingTree(1)_c1.0E-7
moa.HoeffdingTree(1)_dNominalAttributeClassObserver
moa.HoeffdingTree(1)_e1000000
moa.HoeffdingTree(1)_g200
moa.HoeffdingTree(1)_lNBAdaptive
moa.HoeffdingTree(1)_m33554432
moa.HoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(1)_pfalse
moa.HoeffdingTree(1)_q0
moa.HoeffdingTree(1)_rfalse
moa.HoeffdingTree(1)_sInfoGainSplitCriterion
moa.HoeffdingTree(1)_t0.05
moa.HoeffdingTree(1)_zfalse
moa.OzaBagAdwin_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBagAdwin_HoeffdingTree(1)_r1
moa.OzaBagAdwin_HoeffdingTree(1)_s10

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
0.889
Per class
Confusion matrix
F measure
0.8413
Per class
Kappa
0.6843
KB relative information score
54989.736
Mean absolute error
0.2371
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.8495
Per class
Predictive accuracy
0.8421
Prior entropy
1
Recall
0.8421
Per class
Relative absolute error
0.4743
Root mean prior squared error
0.5
Root mean squared error
0.3485
Root relative squared error
0.697