DEVELOPMENT... OpenML
Run
134182

Run 134182

Task 2065 (Supervised Classification) primary-tumor Uploaded 28-12-2014 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)_I10
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
0.7361
Per class
Build CPU time
0.0384
Build memory
655538447.5044
F measure
0.3688
Per class
Kappa
0.3025
KB relative information score
84.9338
Mean absolute error
0.0681
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3613
Per class
Predictive accuracy
0.3835
Prior entropy
3.7542
Recall
0.3835
Per class
Relative absolute error
0.8389
Root mean prior squared error
0.2011
Root mean squared error
0.1912
Root relative squared error
0.9509
SciMark benchmark
939.084