DEVELOPMENT... OpenML
Run
131184

Run 131184

Task 2065 (Supervised Classification) primary-tumor Uploaded 25-12-2014 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)_I160
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
0.7209
Per class
Build CPU time
1.8977
Build memory
644908379.7286
F measure
0.4127
Per class
Kappa
0.3512
KB relative information score
101.2236
Mean absolute error
0.061
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
0.4048
Per class
Predictive accuracy
0.4277
Prior entropy
3.7542
Recall
0.4277
Per class
Relative absolute error
0.7511
Root mean prior squared error
0.2011
Root mean squared error
0.2001
Root relative squared error
0.9949
SciMark benchmark
937.5757