DEVELOPMENT... OpenML
Run
135408

Run 135408

Task 2352 (Supervised Classification) meta_all.arff 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
0.5652
Per class
Build CPU time
0.002
Build memory
297631592
F measure
0.4295
Per class
Kappa
0.1178
KB relative information score
1.5782
Mean absolute error
0.2029
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5815
Per class
Predictive accuracy
0.3913
Prior entropy
1.9094
Recall
0.3913
Per class
Relative absolute error
1.061
Root mean prior squared error
0.2919
Root mean squared error
0.4504
Root relative squared error
1.5432
SciMark benchmark
935.6292