DEVELOPMENT... OpenML
Run
110247

Run 110247

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

weka.AdaBoostM1_IBk(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_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.5841
Per class
Build CPU time
0.9399
Build memory
536098338.4
F measure
0.6624
Per class
Kappa
0.1666
KB relative information score
285.0566
Mean absolute error
0.31
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
0.6548
Per class
Predictive accuracy
0.6783
Prior entropy
0.8796
Recall
0.6783
Per class
Relative absolute error
0.7412
Root mean prior squared error
0.457
Root mean squared error
0.5422
Root relative squared error
1.1864
SciMark benchmark
913.3372