DEVELOPMENT... OpenML
Run
117468

Run 117468

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

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.6329
Per class
Build CPU time
1.3311
Build memory
104220434.4
F measure
0.6648
Per class
Kappa
0.1844
KB relative information score
201.9762
Mean absolute error
0.3346
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
0.6599
Per class
Predictive accuracy
0.6713
Prior entropy
0.8796
Recall
0.6713
Per class
Relative absolute error
0.8
Root mean prior squared error
0.457
Root mean squared error
0.5435
Root relative squared error
1.1893
SciMark benchmark
902.712