Run
1832728

Run 1832728

Task 196 (Supervised Data Stream Classification) RandomRBF_10_1E-4 Uploaded 15-10-2016 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)_s32
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
0.9853
Per class
Confusion matrix
F measure
0.8892
Per class
Kappa
0.8559
KB relative information score
797798.1047
Mean absolute error
0.0873
Mean prior absolute error
0.32
Number of instances
1000000
Per class
Precision
0.891
Per class
Predictive accuracy
0.889
Prior entropy
2.3219
Recall
0.889
Per class
Relative absolute error
0.2728
Root mean prior squared error
0.4
Root mean squared error
0.1834
Root relative squared error
0.4585