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Run
20537

Run 20537

Task 2079 (Supervised Classification) eucalyptus Uploaded 18-06-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I20
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_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.

19 Evaluation measures

Area under ROC curve
0.8971
Per class
F measure
0.6451
Per class
Kappa
0.5476
KB relative information score
232.8725
Mean absolute error
0.2614
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6497
Per class
Predictive accuracy
0.6495
Prior entropy
2.2629
Recall
0.6495
Per class
Relative absolute error
0.8344
Root mean prior squared error
0.3957
Root mean squared error
0.3444
Root relative squared error
0.8703
SciMark benchmark
925.2695[548.8485382806284994.8141311039286474.8968876378323884.42638358457631723.3616525539023]