Run
160739

Run 160739

Task 174 (Supervised Data Stream Classification) BNG(soybean) Uploaded 14-02-2015 by Jan van Rijn
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Flow

moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)Moa implementation of AccuracyWeightedEnsemble
weka.PolyKernel(1)_C250007
weka.PolyKernel(1)_E1.0
weka.SMO_PolyKernel(1)_C1.0
weka.SMO_PolyKernel(1)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(1)_L0.001
weka.SMO_PolyKernel(1)_N0
weka.SMO_PolyKernel(1)_P1.0E-12
weka.SMO_PolyKernel(1)_V-1
weka.SMO_PolyKernel(1)_W1
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_lmoa.classifiers.meta.WEKAClassifier
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_n15.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_r30.0
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_c1000
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel(1)_f10
moa.WEKAClassifier_SMO_PolyKernel(2)_lweka.classifiers.functions.SMO
moa.WEKAClassifier_SMO_PolyKernel(2)_w0
moa.WEKAClassifier_SMO_PolyKernel(2)_i1000
moa.WEKAClassifier_SMO_PolyKernel(2)_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
0.9858
Per class
Confusion matrix
F measure
0.889
Per class
Kappa
0.8784
KB relative information score
230352.0663
Mean absolute error
0.0943
Mean prior absolute error
0.0997
Number of instances
1000000
Per class
Precision
0.8904
Per class
Predictive accuracy
0.889
Prior entropy
4.2479
Recall
0.889
Per class
Relative absolute error
0.946
Root mean prior squared error
0.2233
Root mean squared error
0.2131
Root relative squared error
0.9543