DEVELOPMENT... OpenML
Run
121529

Run 121529

Task 3709 (Supervised Classification) breastTumor 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
0.5068
Per class
Build CPU time
14.2908
Build memory
1040470684.5594
F measure
0.5211
Per class
Kappa
0.0123
KB relative information score
3.3458
Mean absolute error
0.4759
Mean prior absolute error
0.4872
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
0.519
Per class
Predictive accuracy
0.5245
Prior entropy
0.9815
Recall
0.5245
Per class
Relative absolute error
0.9769
Root mean prior squared error
0.4935
Root mean squared error
0.6679
Root relative squared error
1.3534
SciMark benchmark
936.1433