DEVELOPMENT... OpenML
Run
28350

Run 28350

Task 3814 (Supervised Classification) arsenic-male-lung Uploaded 09-10-2014 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)_I20
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
1
Per class
Build CPU time
0.0105
Build memory
2032516354.4902
F measure
0.9653
Per class
KB relative information score
200.3259
Mean absolute error
0.039
Mean prior absolute error
0.0471
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.954
Per class
Predictive accuracy
0.9767
Prior entropy
0.1684
Recall
0.9767
Per class
Relative absolute error
0.8293
Root mean prior squared error
0.1507
Root mean squared error
0.1261
Root relative squared error
0.8364
SciMark benchmark
941.514