DEVELOPMENT... OpenML
Run
4004

Run 4004

Task 2205 (Supervised Data Stream Classification) diabetes Uploaded 30-04-2014 by Felicia West
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Flow

moa.OzaBoostAdwin_HoeffdingTree(1)Moa implementation of OzaBoostAdwin
moa.HoeffdingTree(1)_bfalse
moa.HoeffdingTree(1)_c1.0E-7
moa.HoeffdingTree(1)_dNominalAttributeClassObserver
moa.HoeffdingTree(1)_e1000000
moa.HoeffdingTree(1)_g200
moa.HoeffdingTree(1)_lNBAdaptive
moa.HoeffdingTree(1)_m33554432
moa.HoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(1)_pfalse
moa.HoeffdingTree(1)_q0
moa.HoeffdingTree(1)_rfalse
moa.HoeffdingTree(1)_sInfoGainSplitCriterion
moa.HoeffdingTree(1)_t0.05
moa.HoeffdingTree(1)_zfalse
moa.OzaBoostAdwin_HoeffdingTree(1)_a0.002
moa.OzaBoostAdwin_HoeffdingTree(1)_efalse
moa.OzaBoostAdwin_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBoostAdwin_HoeffdingTree(1)_ofalse
moa.OzaBoostAdwin_HoeffdingTree(1)_pfalse
moa.OzaBoostAdwin_HoeffdingTree(1)_r1
moa.OzaBoostAdwin_HoeffdingTree(1)_s10

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
0.7345
Per class
Confusion matrix
F measure
0.6887
Per class
Kappa
0.312
KB relative information score
141.5607
Mean absolute error
0.423
Mean prior absolute error
0.5
Number of instances
768
Per class
Precision
0.6875
Per class
Predictive accuracy
0.6901
Prior entropy
1
Recall
0.6901
Per class
Relative absolute error
0.8459
Root mean prior squared error
0.5
Root mean squared error
0.4532
Root relative squared error
0.9063
Run CPU time
0.1