DEVELOPMENT... OpenML
Run
21433

Run 21433

Task 58 (Supervised Classification) waveform-5000 Uploaded 19-06-2014 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)_I20
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
0.8003
Per class
F measure
0.7338
Per class
Kappa
0.6007
KB relative information score
3178.0689
Mean absolute error
0.1775
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7338
Per class
Predictive accuracy
0.7338
Prior entropy
1.5849
Recall
0.7338
Per class
Relative absolute error
0.3993
Root mean prior squared error
0.4714
Root mean squared error
0.4213
Root relative squared error
0.8937
SciMark benchmark
944.0644[565.39404163109531013.3868112175512483.23216931738307906.75889678256981751.5501218345944]

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