DEVELOPMENT... OpenML
Run
112578

Run 112578

Task 1777 (Supervised Classification) breast-cancer Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I20
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
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
0.6157
Per class
Build CPU time
0.0126
Build memory
50811363.2
F measure
0.6508
Per class
Kappa
0.1546
KB relative information score
142.1678
Mean absolute error
0.3502
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6471
Per class
Predictive accuracy
0.6552
Prior entropy
0.8796
Recall
0.6552
Per class
Relative absolute error
0.8372
Root mean prior squared error
0.457
Root mean squared error
0.5571
Root relative squared error
1.2189
SciMark benchmark
917.4547