DEVELOPMENT... OpenML
Run
136225

Run 136225

Task 3709 (Supervised Classification) breastTumor Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.5057
Per class
Build CPU time
0.0562
Build memory
122966923.1888
F measure
0.5022
Per class
Kappa
-0.0241
KB relative information score
-12.0561
Mean absolute error
0.5027
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
0.5012
Per class
Predictive accuracy
0.5035
Prior entropy
0.9815
Recall
0.5035
Per class
Relative absolute error
1.0319
Root mean prior squared error
0.4935
Root mean squared error
0.6935
Root relative squared error
1.4053
SciMark benchmark
907.3828