DEVELOPMENT... OpenML
Run
136006

Run 136006

Task 2274 (Supervised Classification) meta_ensembles.arff Uploaded 29-12-2014 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
0.5243
Per class
Build CPU time
0.0036
Build memory
189794114.5946
F measure
0.4607
Per class
Kappa
0.0779
KB relative information score
8.5167
Mean absolute error
0.2703
Mean prior absolute error
0.2904
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4642
Per class
Predictive accuracy
0.4595
Prior entropy
1.5899
Recall
0.4595
Per class
Relative absolute error
0.9308
Root mean prior squared error
0.3782
Root mean squared error
0.5199
Root relative squared error
1.3747
SciMark benchmark
925.7673