Run
22569

Run 22569

Task 53 (Supervised Classification) vehicle Uploaded 22-06-2014 by Joaquin Vanschoren
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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)_I40
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
0.8923
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.727
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6518
Cross-validation details (10-fold Crossvalidation)
KB relative information score
335.4312
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2803
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7259
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7388
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.7388
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7478
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3509
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8104
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.6618[563.74938041721711014.7209476623404483.0148066605872872.94038684148571758.8835103978397]