DEVELOPMENT... OpenML
Run
21202

Run 21202

Task 10 (Supervised Classification) lymph Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I160
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.8149
Per class
F measure
0.7734
Per class
Kappa
0.5785
KB relative information score
80.1828
Mean absolute error
0.111
Mean prior absolute error
0.2677
Number of instances
148
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.773
Per class
Predictive accuracy
0.777
Prior entropy
1.2818
Recall
0.777
Per class
Relative absolute error
0.4147
Root mean prior squared error
0.3639
Root mean squared error
0.3222
Root relative squared error
0.8854
SciMark benchmark
936.7817[557.8000386497777988.4355182753967482.14720472367435911.80521739130441743.7207492169434]