Run
3435

Run 3435

Task 2180 (Supervised Data Stream Classification) mfeat-factors Uploaded 30-04-2014 by Jan van Rijn
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Flow

moa.OzaBag_HoeffdingTree(1)Moa implementation of OzaBag
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.OzaBag_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBag_HoeffdingTree(1)_r1
moa.OzaBag_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
0.7133
Per class
Confusion matrix
F measure
0.0792
Per class
Kappa
0.0122
KB relative information score
310.1366
Mean absolute error
0.1635
Mean prior absolute error
0.18
Number of instances
2000
Per class
Precision
0.0624
Per class
Predictive accuracy
0.111
Prior entropy
3.3219
Ram hours
0
Recall
0.111
Per class
Relative absolute error
0.9081
Root mean prior squared error
0.3
Root mean squared error
0.3136
Root relative squared error
1.0455
Run CPU time
4.16