DEVELOPMENT... OpenML
Run
155596

Run 155596

Task 162 (Supervised Data Stream Classification) BNG(colic,nominal,1000000) Uploaded 11-02-2015 by Jason
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
0.9328
Per class
Confusion matrix
F measure
0.8697
Per class
Kappa
0.7185
KB relative information score
630668.6019
Mean absolute error
0.198
Mean prior absolute error
0.5
Number of instances
1000000
Per class
Precision
0.8701
Per class
Predictive accuracy
0.8709
Prior entropy
1
Recall
0.8709
Per class
Relative absolute error
0.3961
Root mean prior squared error
0.5
Root mean squared error
0.3082
Root relative squared error
0.6164