DEVELOPMENT... OpenML
Run
16905

Run 16905

Task 14 (Supervised Classification) mfeat-fourier Uploaded 05-06-2014 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
0.955
Per class
F measure
0.8211
Per class
Kappa
0.7989
KB relative information score
1634.6787
Mean absolute error
0.0363
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
0.8249
Per class
Predictive accuracy
0.819
Prior entropy
3.3219
Recall
0.819
Per class
Relative absolute error
0.2016
Root mean prior squared error
0.3
Root mean squared error
0.1838
Root relative squared error
0.6127
SciMark benchmark
583.924[337.24684129097113900.8671567092567256.7531761988769517.2533220653746907.4997040699109]