Run
4881

Run 4881

Task 2202 (Supervised Data Stream Classification) postoperative-patient-data Uploaded 30-04-2014 by Joaquin Vanschoren
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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
0.4233
Per class
Confusion matrix
F measure
0.5953
Per class
Kappa
-0.0213
KB relative information score
35.7545
Mean absolute error
0.3106
Mean prior absolute error
0.4444
Number of instances
90
Per class
Precision
0.5681
Per class
Predictive accuracy
0.6444
Prior entropy
1.585
Recall
0.6444
Per class
Relative absolute error
0.6989
Root mean prior squared error
0.4714
Root mean squared error
0.4166
Root relative squared error
0.8838
Run CPU time
0.12