DEVELOPMENT... OpenML
Run
132965

Run 132965

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)_I20
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
0.6001
Per class
Build CPU time
0.2761
Build memory
2236430999.2
F measure
0.6716
Per class
Kappa
0.1374
KB relative information score
128.2461
Mean absolute error
0.3252
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
0.6648
Per class
Predictive accuracy
0.6804
Prior entropy
0.836
Recall
0.6804
Per class
Relative absolute error
0.8339
Root mean prior squared error
0.4412
Root mean squared error
0.5405
Root relative squared error
1.2251
SciMark benchmark
924.9295