DEVELOPMENT... OpenML
Run
121151

Run 121151

Task 13 (Supervised Classification) breast-cancer Uploaded 11-12-2014 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)_I80
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
0.627
Per class
Build CPU time
11.5683
Build memory
1009671745.9301
F measure
0.6577
Per class
Kappa
0.1622
KB relative information score
43.5096
Mean absolute error
0.3278
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6512
Per class
Predictive accuracy
0.6678
Prior entropy
0.8796
Recall
0.6678
Per class
Relative absolute error
0.7836
Root mean prior squared error
0.457
Root mean squared error
0.541
Root relative squared error
1.1838
SciMark benchmark
945.5885