Run
19554

Run 19554

Task 41 (Supervised Classification) soybean Uploaded 16-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I10
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_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
0.9868
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8645
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8628
Cross-validation details (10-fold Crossvalidation)
KB relative information score
597.0108
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0134
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
0.878
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8755
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.8755
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1399
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1045
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.477
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.0626[560.1286858078278983.1402910694766483.0148066605872903.32186243855711765.707548606275]