DEVELOPMENT... OpenML
Run
105203

Run 105203

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

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.621
Per class
Build CPU time
0.0316
Build memory
1205807555.2
F measure
0.6645
Per class
Kappa
0.1821
KB relative information score
185.835
Mean absolute error
0.3407
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
0.6592
Per class
Predictive accuracy
0.672
Prior entropy
0.8796
Recall
0.672
Per class
Relative absolute error
0.8145
Root mean prior squared error
0.457
Root mean squared error
0.5109
Root relative squared error
1.1178
SciMark benchmark
944.3832

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