DEVELOPMENT... OpenML
Run
20435

Run 20435

Task 2065 (Supervised Classification) primary-tumor Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(1)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(1)_I80
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7302
Per class
F measure
0.3801
Per class
Kappa
0.3118
KB relative information score
88.4638
Mean absolute error
0.0656
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
0.3752
Per class
Predictive accuracy
0.3923
Prior entropy
3.7542
Recall
0.3923
Per class
Relative absolute error
0.8077
Root mean prior squared error
0.2011
Root mean squared error
0.1938
Root relative squared error
0.9637
SciMark benchmark
938.6724[545.2456094024242982.388457924644483.44967579697345913.71203223944171768.5664600912808]