DEVELOPMENT... OpenML
Run
134739

Run 134739

Task 1777 (Supervised Classification) breast-cancer Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.6159
Per class
Build CPU time
0.009
Build memory
2003489368.8
F measure
0.6598
Per class
Kappa
0.1693
KB relative information score
210.3099
Mean absolute error
0.3315
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
0.6539
Per class
Predictive accuracy
0.6685
Prior entropy
0.8796
Recall
0.6685
Per class
Relative absolute error
0.7925
Root mean prior squared error
0.457
Root mean squared error
0.5563
Root relative squared error
1.2171
SciMark benchmark
939.084