DEVELOPMENT... OpenML
Run
132264

Run 132264

Task 42 (Supervised Classification) haberman Uploaded 26-12-2014 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)_I40
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
0.6212
Per class
Build CPU time
1.0724
Build memory
1383339216.0261
F measure
0.6845
Per class
Kappa
0.1716
KB relative information score
32.7806
Mean absolute error
0.3149
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6783
Per class
Predictive accuracy
0.6928
Prior entropy
0.836
Recall
0.6928
Per class
Relative absolute error
0.8076
Root mean prior squared error
0.4412
Root mean squared error
0.5442
Root relative squared error
1.2335
SciMark benchmark
940.5537