Run
1834588

Run 1834588

Task 7316 (Supervised Data Stream Classification) vehicleNorm Uploaded 23-10-2016 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
0.6415
Per class
Confusion matrix
F measure
0.6269
Per class
Kappa
0.283
KB relative information score
27884
Mean absolute error
0.3585
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.6677
Per class
Predictive accuracy
0.6415
Prior entropy
1
Recall
0.6415
Per class
Relative absolute error
0.717
Root mean prior squared error
0.5
Root mean squared error
0.5987
Root relative squared error
1.1975