DEVELOPMENT... OpenML
Run
31650

Run 31650

Task 2065 (Supervised Classification) primary-tumor Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.7878
Per class
Build CPU time
0.6648
Build memory
185378128.8732
F measure
0.4077
Per class
Kappa
0.3647
KB relative information score
114.6185
Mean absolute error
0.0624
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3882
Per class
Predictive accuracy
0.4425
Prior entropy
3.7542
Recall
0.4425
Per class
Relative absolute error
0.7679
Root mean prior squared error
0.2011
Root mean squared error
0.1829
Root relative squared error
0.9094
SciMark benchmark
945.9552