DEVELOPMENT... OpenML
Run
23727

Run 23727

Task 22 (Supervised Classification) mfeat-zernike Uploaded 27-06-2014 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)_I40
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
0.9675
Per class
F measure
0.7856
Per class
Kappa
0.7572
KB relative information score
1575.3507
Mean absolute error
0.0431
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
0.7908
Per class
Predictive accuracy
0.7815
Prior entropy
3.3219
Recall
0.7815
Per class
Relative absolute error
0.2393
Root mean prior squared error
0.3
Root mean squared error
0.1952
Root relative squared error
0.6506
SciMark benchmark
929.5175[559.9488393771786926.6434455956115483.6674820550281909.90626928802961767.4217034453668]