Run
3454

Run 3454

Task 2170 (Supervised Data Stream Classification) anneal 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
0.7987
Per class
Confusion matrix
F measure
0.7259
Per class
Kappa
0.4069
KB relative information score
582.0019
Mean absolute error
0.1421
Mean prior absolute error
0.2778
Number of instances
898
Per class
Precision
0.8011
Per class
Predictive accuracy
0.6915
Prior entropy
2.585
Ram hours
0
Recall
0.6915
Per class
Relative absolute error
0.5116
Root mean prior squared error
0.3727
Root mean squared error
0.2495
Root relative squared error
0.6695
Run CPU time
0.15