Run
17170

Run 17170

Task 38 (Supervised Classification) ecoli Uploaded 06-06-2014 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
0.9559
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8477
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8009
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.7121
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0905
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.8495
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4952
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1782
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5909
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.059[554.4312010721529994.5574234838709469.08772734606856884.12811638878771713.0907764790145]