DEVELOPMENT... OpenML
Run
4331

Run 4331

Task 2203 (Supervised Data Stream Classification) dermatology Uploaded 30-04-2014 by Felicia West
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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
0.954
Per class
Confusion matrix
F measure
0.893
Per class
Kappa
0.8629
KB relative information score
312.044
Mean absolute error
0.0556
Mean prior absolute error
0.2778
Number of instances
366
Per class
Precision
0.9024
Per class
Predictive accuracy
0.8907
Prior entropy
2.585
Recall
0.8907
Per class
Relative absolute error
0.2001
Root mean prior squared error
0.3727
Root mean squared error
0.1743
Root relative squared error
0.4676
Run CPU time
0.31