Run
155600

Run 155600

Task 129 (Supervised Data Stream Classification) BNG(mfeat-karhunen,nominal,1000000) Uploaded 11-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)Moa implementation of AccuracyWeightedEnsemble
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1)_f10
moa.WEKAClassifier_REPTree(3)_lweka.classifiers.trees.REPTree
moa.WEKAClassifier_REPTree(3)_w0
moa.WEKAClassifier_REPTree(3)_i1000
moa.WEKAClassifier_REPTree(3)_f0

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.

18 Evaluation measures

Area under ROC curve
0.9742
Per class
Confusion matrix
F measure
0.8063
Per class
Kappa
0.785
KB relative information score
748629.0243
Mean absolute error
0.0704
Mean prior absolute error
0.18
Number of instances
1000000
Per class
Precision
0.808
Per class
Predictive accuracy
0.8065
Prior entropy
3.3219
Recall
0.8065
Per class
Relative absolute error
0.3911
Root mean prior squared error
0.3
Root mean squared error
0.1709
Root relative squared error
0.5697