DEVELOPMENT... OpenML
Run
133826

Run 133826

Task 3709 (Supervised Classification) breastTumor Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.5148
Per class
Build CPU time
0.4786
Build memory
830009327.6923
F measure
0.5335
Per class
Kappa
0.0368
KB relative information score
8.0646
Mean absolute error
0.4693
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
0.5311
Per class
Predictive accuracy
0.5385
Prior entropy
0.9815
Recall
0.5385
Per class
Relative absolute error
0.9634
Root mean prior squared error
0.4935
Root mean squared error
0.6741
Root relative squared error
1.366
SciMark benchmark
939.084