DEVELOPMENT... OpenML
Run
18485

Run 18485

Task 36 (Supervised Classification) segment Uploaded 10-06-2014 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
0.9841
Per class
F measure
0.9274
Per class
Kappa
0.9157
KB relative information score
799.9164
Mean absolute error
0.2055
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9278
Per class
Predictive accuracy
0.9277
Prior entropy
2.8074
Recall
0.9277
Per class
Relative absolute error
0.839
Root mean prior squared error
0.3499
Root mean squared error
0.3026
Root relative squared error
0.8648
SciMark benchmark
943.2966[547.98636252615521014.9881711071126483.6674820550281914.34953743383911755.4912331040343]