DEVELOPMENT... OpenML
Run
135657

Run 135657

Task 3743 (Supervised Classification) fri_c2_500_25 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)_I40
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
0.716
Per class
Build CPU time
0.0079
Build memory
1993411596.8
F measure
0.7325
Per class
Kappa
0.4363
KB relative information score
215.1872
Mean absolute error
0.266
Mean prior absolute error
0.4768
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7318
Per class
Predictive accuracy
0.734
Prior entropy
0.9664
Recall
0.734
Per class
Relative absolute error
0.5579
Root mean prior squared error
0.4882
Root mean squared error
0.5158
Root relative squared error
1.0564
SciMark benchmark
934.6076