DEVELOPMENT... OpenML
Run
136709

Run 136709

Task 3557 (Supervised Classification) schizo Uploaded 31-12-2014 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)_I160
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
0.7938
Per class
Build CPU time
0.6565
Build memory
1366079508.8
F measure
0.7574
Per class
Kappa
0.5145
KB relative information score
170.2801
Mean absolute error
0.2506
Mean prior absolute error
0.4992
Number of instances
340
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7613
Per class
Predictive accuracy
0.7588
Prior entropy
0.9988
Recall
0.7588
Per class
Relative absolute error
0.502
Root mean prior squared error
0.4996
Root mean squared error
0.4588
Root relative squared error
0.9184
SciMark benchmark
915.3856