DEVELOPMENT... OpenML
Run
135865

Run 135865

Task 47 (Supervised Classification) tae 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)_I80
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
0.8367
Per class
Build CPU time
0.0724
Build memory
1997497936.9536
F measure
0.7084
Per class
Kappa
0.5627
KB relative information score
88.7218
Mean absolute error
0.2017
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7083
Per class
Predictive accuracy
0.7086
Prior entropy
1.5845
Recall
0.7086
Per class
Relative absolute error
0.454
Root mean prior squared error
0.4713
Root mean squared error
0.4219
Root relative squared error
0.8952
SciMark benchmark
934.6076