Run
15481

Run 15481

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9825
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9563
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9078
Cross-validation details (10-fold Crossvalidation)
KB relative information score
393.6872
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0441
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
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
0.9563
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9563
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.9563
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0929
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1969
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4045
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.6599[559.58953556755011013.1204302006943482.14720472367435907.38658326225751756.0556588021248]