DEVELOPMENT... OpenML
Run
120700

Run 120700

Task 1777 (Supervised Classification) breast-cancer Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.6299
Per class
Build CPU time
4.9047
Build memory
696758736.8
F measure
0.673
Per class
Kappa
0.2052
KB relative information score
235.5557
Mean absolute error
0.3257
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
0.6686
Per class
Predictive accuracy
0.679
Prior entropy
0.8796
Recall
0.679
Per class
Relative absolute error
0.7787
Root mean prior squared error
0.457
Root mean squared error
0.5446
Root relative squared error
1.1916
SciMark benchmark
902.712

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