DEVELOPMENT... OpenML
Run
134163

Run 134163

Task 1806 (Supervised Classification) haberman Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.5968
Per class
Build CPU time
0.0051
Build memory
493653574.4
F measure
0.6653
Per class
Kappa
0.1294
KB relative information score
95.3899
Mean absolute error
0.3314
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
0.6613
Per class
Predictive accuracy
0.6699
Prior entropy
0.836
Recall
0.6699
Per class
Relative absolute error
0.8499
Root mean prior squared error
0.4412
Root mean squared error
0.5658
Root relative squared error
1.2824
SciMark benchmark
946.9091