Run
23308

Run 23308

Task 41 (Supervised Classification) soybean Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I80
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9939
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9112
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9036
Cross-validation details (10-fold Crossvalidation)
KB relative information score
628.2332
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0108
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0961
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
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
0.9151
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9122
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.9122
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1125
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0822
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3753
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.0864[552.6744917203978990.7224031557098467.65758807318286878.79314944704551760.5845701777503]