DEVELOPMENT... OpenML
Run
2812

Run 2812

Task 2126 (Supervised Data Stream Classification) covertype Uploaded 28-04-2014 by Jason
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Flow

moa.WEKAClassifier_SMO_PolyKernel(1)Moa implementation of WEKAClassifier
moa.WEKAClassifier_SMO_PolyKernel(1)_f0
moa.WEKAClassifier_SMO_PolyKernel(1)_i1000
moa.WEKAClassifier_SMO_PolyKernel(1)_lweka.classifiers.functions.SMO
moa.WEKAClassifier_SMO_PolyKernel(1)_w0
weka.PolyKernel(2)_C250007
weka.PolyKernel(2)_E1.0
weka.SMO_PolyKernel(2)_C1.0
weka.SMO_PolyKernel(2)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(2)_L0.001
weka.SMO_PolyKernel(2)_N0
weka.SMO_PolyKernel(2)_P1.0E-12
weka.SMO_PolyKernel(2)_V-1
weka.SMO_PolyKernel(2)_W1

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
0.766
Per class
Confusion matrix
F measure
0.6375
Per class
Kappa
0.4575
KB relative information score
33341.388
Mean absolute error
0.2117
Mean prior absolute error
0.2449
Number of instances
110393
Per class
Precision
0.631
Per class
Predictive accuracy
0.6644
Prior entropy
2.8074
Ram hours
0
Recall
0.6644
Per class
Relative absolute error
0.8645
Root mean prior squared error
0.3499
Root mean squared error
0.3132
Root relative squared error
0.8952
Run CPU time
2.99