DEVELOPMENT... OpenML
Run
4434

Run 4434

Task 2215 (Supervised Data Stream Classification) tae Uploaded 30-04-2014 by Felicia West
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Flow

moa.HoeffdingAdaptiveTree(1)Moa implementation of HoeffdingAdaptiveTree
moa.HoeffdingAdaptiveTree(1)_bfalse
moa.HoeffdingAdaptiveTree(1)_c1.0E-7
moa.HoeffdingAdaptiveTree(1)_dNominalAttributeClassObserver
moa.HoeffdingAdaptiveTree(1)_e1000000
moa.HoeffdingAdaptiveTree(1)_g200
moa.HoeffdingAdaptiveTree(1)_lNBAdaptive
moa.HoeffdingAdaptiveTree(1)_m33554432
moa.HoeffdingAdaptiveTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingAdaptiveTree(1)_pfalse
moa.HoeffdingAdaptiveTree(1)_q0
moa.HoeffdingAdaptiveTree(1)_rfalse
moa.HoeffdingAdaptiveTree(1)_sInfoGainSplitCriterion
moa.HoeffdingAdaptiveTree(1)_t0.05
moa.HoeffdingAdaptiveTree(1)_zfalse

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.

20 Evaluation measures

Area under ROC curve
0.6578
Per class
Confusion matrix
F measure
0.4513
Per class
Kappa
0.1902
KB relative information score
29.373
Mean absolute error
0.3878
Mean prior absolute error
0.4444
Number of instances
151
Per class
Precision
0.5004
Per class
Predictive accuracy
0.4636
Prior entropy
1.585
Recall
0.4636
Per class
Relative absolute error
0.8725
Root mean prior squared error
0.4714
Root mean squared error
0.4898
Root relative squared error
1.039
Run CPU time
0.01