Run
19307

Run 19307

Task 2065 (Supervised Classification) primary-tumor Uploaded 12-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_IBk(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_IBk(1)_I80
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.6715
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.387
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3221
Cross-validation details (10-fold Crossvalidation)
KB relative information score
103.1822
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0595
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
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
0.3929
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3923
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.3923
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.733
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2209
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0988
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.1904[550.9288379492025992.7640510810805473.84898880647887894.68939941059351743.7207492169434]