DEVELOPMENT... OpenML
Run
135689

Run 135689

Task 3783 (Supervised Classification) fri_c2_500_50 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
0.6678
Per class
Build CPU time
0.009
Build memory
2443164894.4
F measure
0.6795
Per class
Kappa
0.3366
KB relative information score
164.5449
Mean absolute error
0.32
Mean prior absolute error
0.4839
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
0.6791
Per class
Predictive accuracy
0.68
Prior entropy
0.9767
Recall
0.68
Per class
Relative absolute error
0.6613
Root mean prior squared error
0.4918
Root mean squared error
0.5657
Root relative squared error
1.1502
SciMark benchmark
934.6076