DEVELOPMENT... OpenML
Run
57409

Run 57409

Task 7283 (Supervised Data Stream Classification) BNG(SPECT) Uploaded 13-11-2014 by Jason
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Flow

moa.LeveragingBag_HoeffdingTree(1)Moa implementation of LeveragingBag
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.LeveragingBag_HoeffdingTree(1)_a0.002
moa.LeveragingBag_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.LeveragingBag_HoeffdingTree(1)_mLeveragingBag
moa.LeveragingBag_HoeffdingTree(1)_ofalse
moa.LeveragingBag_HoeffdingTree(1)_r1
moa.LeveragingBag_HoeffdingTree(1)_s10
moa.LeveragingBag_HoeffdingTree(1)_w6.0

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
0.8827
Per class
Confusion matrix
F measure
0.8447
Per class
Kappa
0.5094
KB relative information score
602623.7135
Mean absolute error
0.2103
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.8431
Per class
Predictive accuracy
0.8527
Prior entropy
1
Recall
0.8527
Per class
Relative absolute error
0.4205
Root mean prior squared error
0.5
Root mean squared error
0.3245
Root relative squared error
0.649