OpenML
15048

Run 15048

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 by Joaquin Vanschoren
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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
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.96
Cross-validation details (10-fold Crossvalidation)
KB relative information score
142.8991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0242
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.3]
Precision
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9733
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0544
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2881
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1273.5018[907.98575561494491186.5485972905478545.18496503926621122.19168278084232605.5980189114316]