Run
141297

Run 141297

Task 1799 (Supervised Classification) dermatology Uploaded 31-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_SMO_PolyKernel(2)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(2)_I40
weka.AdaBoostM1_SMO_PolyKernel(2)_P100
weka.AdaBoostM1_SMO_PolyKernel(2)_S1
weka.AdaBoostM1_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

0.987
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.076
Cross-validation details (5 times 2-fold Crossvalidation)
802038104
Cross-validation details (5 times 2-fold Crossvalidation)
0.9613
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9514
Cross-validation details (5 times 2-fold Crossvalidation)
626.9307
Cross-validation details (5 times 2-fold Crossvalidation)
0.2231
Cross-validation details (5 times 2-fold Crossvalidation)
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.9617
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9612
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.9612
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.8374
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.3117
Cross-validation details (5 times 2-fold Crossvalidation)
0.8542
Cross-validation details (5 times 2-fold Crossvalidation)
929.9115