DEVELOPMENT... OpenML
Run
34866

Run 34866

Task 2930 (Supervised Classification) primary-tumor Uploaded 21-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I80
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7777
Per class
Build CPU time
2.0504
Build memory
3103577245.2106
F measure
0.3747
Per class
Kappa
0.3359
KB relative information score
996.0646
Mean absolute error
0.0663
Mean prior absolute error
0.0812
Number of instances
3390
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3574
Per class
Predictive accuracy
0.4369
Prior entropy
3.7542
Recall
0.4369
Per class
Relative absolute error
0.8167
Root mean prior squared error
0.2011
Root mean squared error
0.1822
Root relative squared error
0.9062
SciMark benchmark
944.7359