Run
1832473

Run 1832473

Task 6704 (Supervised Data Stream Classification) BNG(solar-flare) Uploaded 12-10-2016 by Jan van Rijn
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Flow

moa.LeveragingBag_HoeffdingTree(4)Moa implementation of LeveragingBag
moa.HoeffdingTree(7)_m33554432
moa.HoeffdingTree(7)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(7)_dNominalAttributeClassObserver
moa.HoeffdingTree(7)_e1000000
moa.HoeffdingTree(7)_g200
moa.HoeffdingTree(7)_sInfoGainSplitCriterion
moa.HoeffdingTree(7)_c1.0E-7
moa.HoeffdingTree(7)_t0.05
moa.HoeffdingTree(7)_bfalse
moa.HoeffdingTree(7)_zfalse
moa.HoeffdingTree(7)_rfalse
moa.HoeffdingTree(7)_pfalse
moa.HoeffdingTree(7)_lNBAdaptive
moa.HoeffdingTree(7)_q0
moa.LeveragingBag_HoeffdingTree(4)_lmoa.classifiers.trees.HoeffdingTree
moa.LeveragingBag_HoeffdingTree(4)_s128
moa.LeveragingBag_HoeffdingTree(4)_w6.0
moa.LeveragingBag_HoeffdingTree(4)_a0.002
moa.LeveragingBag_HoeffdingTree(4)_ofalse
moa.LeveragingBag_HoeffdingTree(4)_mLeveragingBag

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
0.9971
Per class
Confusion matrix
F measure
0.9493
Per class
Kappa
0.9356
KB relative information score
817288.9228
Mean absolute error
0.0828
Mean prior absolute error
0.2778
Number of instances
1000000
Per class
Precision
0.95
Per class
Predictive accuracy
0.9495
Prior entropy
2.585
Recall
0.9495
Per class
Relative absolute error
0.298
Root mean prior squared error
0.3727
Root mean squared error
0.1616
Root relative squared error
0.4336