DEVELOPMENT... OpenML
Run
133564

Run 133564

Task 1806 (Supervised Classification) haberman Uploaded 27-12-2014 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)_I10
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
0.599
Per class
Build CPU time
0.1691
Build memory
1374239853.6
F measure
0.6682
Per class
Kappa
0.1274
KB relative information score
124.1996
Mean absolute error
0.326
Mean prior absolute error
0.39
Number of instances
1530
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.661
Per class
Predictive accuracy
0.6778
Prior entropy
0.836
Recall
0.6778
Per class
Relative absolute error
0.8358
Root mean prior squared error
0.4412
Root mean squared error
0.54
Root relative squared error
1.2241
SciMark benchmark
939.9709