Run
3341

Run 3341

Task 2205 (Supervised Data Stream Classification) diabetes Uploaded 30-04-2014 by Jan van Rijn
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Flow

moa.OzaBoost_HoeffdingTree(1)Moa implementation of OzaBoost
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.OzaBoost_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBoost_HoeffdingTree(1)_pfalse
moa.OzaBoost_HoeffdingTree(1)_r1
moa.OzaBoost_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
0.7668
Per class
Confusion matrix
F measure
0.7216
Per class
Kappa
0.3829
KB relative information score
142.5687
Mean absolute error
0.4245
Mean prior absolute error
0.5
Number of instances
768
Per class
Precision
0.7201
Per class
Predictive accuracy
0.724
Prior entropy
1
Ram hours
0
Recall
0.724
Per class
Relative absolute error
0.849
Root mean prior squared error
0.5
Root mean squared error
0.4488
Root relative squared error
0.8976
Run CPU time
0.05