DEVELOPMENT... OpenML
Run
134345

Run 134345

Task 3620 (Supervised Classification) fri_c0_100_5 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
0.7508
Per class
Build CPU time
0.0009
Build memory
1297773482.4
F measure
0.7504
Per class
Kappa
0.4992
KB relative information score
49.5355
Mean absolute error
0.25
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7521
Per class
Predictive accuracy
0.75
Prior entropy
0.9956
Recall
0.75
Per class
Relative absolute error
0.5032
Root mean prior squared error
0.4984
Root mean squared error
0.5
Root relative squared error
1.0032
SciMark benchmark
939.084