DEVELOPMENT... OpenML
Run
23109

Run 23109

Task 22 (Supervised Classification) mfeat-zernike Uploaded 24-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I20
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.9658
Per class
F measure
0.7756
Per class
Kappa
0.7483
KB relative information score
1560.3004
Mean absolute error
0.045
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7786
Per class
Predictive accuracy
0.7735
Prior entropy
3.3219
Recall
0.7735
Per class
Relative absolute error
0.2498
Root mean prior squared error
0.3
Root mean squared error
0.1977
Root relative squared error
0.6588
SciMark benchmark
919.2485[559.7691512301901993.7880338188492429.6685845770084888.02170947903681724.9947960085244]