Run
1833509

Run 1833509

Task 200 (Supervised Data Stream Classification) SEA(50000) Uploaded 20-10-2016 by Jan van Rijn
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Flow

moa.DynamicWeightedMajority_HoeffdingTree(1)Moa implementation of DynamicWeightedMajority
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.DynamicWeightedMajority_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.DynamicWeightedMajority_HoeffdingTree(1)_p50
moa.DynamicWeightedMajority_HoeffdingTree(1)_b0.5
moa.DynamicWeightedMajority_HoeffdingTree(1)_t0.01
moa.DynamicWeightedMajority_HoeffdingTree(1)_e2147483647

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
0.5801
Per class
Confusion matrix
F measure
0.5499
Per class
Kappa
0.1444
KB relative information score
99702
Mean absolute error
0.4501
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.6105
Per class
Predictive accuracy
0.5499
Prior entropy
1
Recall
0.5499
Per class
Relative absolute error
0.9003
Root mean prior squared error
0.5
Root mean squared error
0.6709
Root relative squared error
1.3419