Run
3331

Run 3331

Task 2247 (Supervised Data Stream Classification) abalone 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
0.4999
Per class
Confusion matrix
F measure
Per class
Kappa
-0.0001
KB relative information score
-42.0878
Mean absolute error
0.0689
Mean prior absolute error
0.0666
Number of instances
4177
Per class
Precision
Per class
Predictive accuracy
0.0002
Prior entropy
4.858
Ram hours
0
Recall
0.0002
Per class
Relative absolute error
1.0354
Root mean prior squared error
0.1825
Root mean squared error
0.2625
Root relative squared error
1.4388
Run CPU time
1.07