Run
17762

Run 17762

Task 21 (Supervised Classification) car Uploaded 09-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_SMO_PolyKernel(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_SMO_PolyKernel(1)_I40
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
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
0.9929
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9441
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8777
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1524.4219
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0295
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.9445
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9439
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9439
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1289
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1435
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4245
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.408[560.48863959327881013.9200573100866482.7975877024999909.90634458777781754.9271701211055]