DEVELOPMENT... OpenML
Run
135378

Run 135378

Task 1823 (Supervised Classification) iris 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
0.959
Per class
Build CPU time
0.0012
Build memory
2326232390.4
F measure
0.9453
Per class
Kappa
0.918
KB relative information score
693.8681
Mean absolute error
0.0364
Mean prior absolute error
0.4444
Number of instances
750
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9453
Per class
Predictive accuracy
0.9453
Prior entropy
1.585
Recall
0.9453
Per class
Relative absolute error
0.082
Root mean prior squared error
0.4714
Root mean squared error
0.1909
Root relative squared error
0.405
SciMark benchmark
946.9091

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