Run
3574

Run 3574

Task 2221 (Supervised Data Stream Classification) vehicle Uploaded 30-04-2014 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.

20 Evaluation measures

Area under ROC curve
0.7521
Per class
Confusion matrix
F measure
0.4031
Per class
Kappa
0.2586
KB relative information score
271.468
Mean absolute error
0.2873
Mean prior absolute error
0.375
Number of instances
846
Per class
Precision
0.4863
Per class
Predictive accuracy
0.4397
Prior entropy
2
Ram hours
0
Recall
0.4397
Per class
Relative absolute error
0.7662
Root mean prior squared error
0.433
Root mean squared error
0.4561
Root relative squared error
1.0533
Run CPU time
0.1962