DEVELOPMENT... OpenML
Run
29335

Run 29335

Task 2930 (Supervised Classification) primary-tumor Uploaded 11-10-2014 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)_I40
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
0.7847
Per class
Build CPU time
0.1316
Build memory
2194471994.9381
F measure
0.4128
Per class
Kappa
0.3719
KB relative information score
1163.9926
Mean absolute error
0.062
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
0.3899
Per class
Predictive accuracy
0.4493
Prior entropy
3.7542
Recall
0.4493
Per class
Relative absolute error
0.7635
Root mean prior squared error
0.2011
Root mean squared error
0.1825
Root relative squared error
0.9075
SciMark benchmark
934.9465