DEVELOPMENT... OpenML
Run
19421

Run 19421

Task 42 (Supervised Classification) haberman Uploaded 13-06-2014 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)_I80
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
0.6976
Per class
F measure
0.7093
Per class
Kappa
0.22
KB relative information score
34.7441
Mean absolute error
0.3267
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7023
Per class
Predictive accuracy
0.7288
Prior entropy
0.836
Recall
0.7288
Per class
Relative absolute error
0.8377
Root mean prior squared error
0.4412
Root mean squared error
0.4376
Root relative squared error
0.9918
SciMark benchmark
931.9174[558.33565926128391013.3868112175512473.43111305208095862.88344563334581751.5501218345944]

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