DEVELOPMENT... OpenML
Run
3489

Run 3489

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

moa.ASHoeffdingTree(1)Moa implementation of ASHoeffdingTree
moa.ASHoeffdingTree(1)_bfalse
moa.ASHoeffdingTree(1)_c1.0E-7
moa.ASHoeffdingTree(1)_dNominalAttributeClassObserver
moa.ASHoeffdingTree(1)_e1000000
moa.ASHoeffdingTree(1)_g200
moa.ASHoeffdingTree(1)_lNBAdaptive
moa.ASHoeffdingTree(1)_m33554432
moa.ASHoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.ASHoeffdingTree(1)_pfalse
moa.ASHoeffdingTree(1)_q0
moa.ASHoeffdingTree(1)_rfalse
moa.ASHoeffdingTree(1)_sInfoGainSplitCriterion
moa.ASHoeffdingTree(1)_t0.05
moa.ASHoeffdingTree(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
0.6576
Per class
Confusion matrix
F measure
0.4691
Per class
Kappa
0.203
KB relative information score
30.5734
Mean absolute error
0.3855
Mean prior absolute error
0.4444
Number of instances
151
Per class
Precision
0.4796
Per class
Predictive accuracy
0.4702
Prior entropy
1.585
Recall
0.4702
Per class
Relative absolute error
0.8673
Root mean prior squared error
0.4714
Root mean squared error
0.4817
Root relative squared error
1.0218