DEVELOPMENT... OpenML
Run
21801

Run 21801

Task 41 (Supervised Classification) soybean Uploaded 20-06-2014 by Felicia West
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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)_I160
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
0.9939
Per class
F measure
0.9112
Per class
Kappa
0.9036
KB relative information score
628.2332
Mean absolute error
0.0108
Mean prior absolute error
0.0961
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9151
Per class
Predictive accuracy
0.9122
Prior entropy
3.8572
Recall
0.9122
Per class
Relative absolute error
0.1125
Root mean prior squared error
0.2191
Root mean squared error
0.0822
Root relative squared error
0.3753
SciMark benchmark
937.252[562.11430287262971010.1992658050349445.9060745024889910.85482906678911757.1857345400422]