DEVELOPMENT... OpenML
Run
135383

Run 135383

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)_I40
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
0.7354
Per class
Build CPU time
0.1608
Build memory
204333652.4602
F measure
0.3669
Per class
Kappa
0.2992
KB relative information score
85.3774
Mean absolute error
0.068
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
0.3605
Per class
Predictive accuracy
0.3805
Prior entropy
3.7542
Recall
0.3805
Per class
Relative absolute error
0.8371
Root mean prior squared error
0.2011
Root mean squared error
0.1914
Root relative squared error
0.9517
SciMark benchmark
935.6292