Run
16644

Run 16644

Task 41 (Supervised Classification) soybean Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(1)_I20
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9788
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.915
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9068
Cross-validation details (10-fold Crossvalidation)
KB relative information score
626.5053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.009
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
0.9176
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9151
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.9151
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0935
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0918
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4187
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
920.4336[550.0601191742942990.4677419388732464.4211968726429884.12811638878771713.0907764790145]