DEVELOPMENT... OpenML
Run
133005

Run 133005

Task 2272 (Supervised Classification) meta_all.arff Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.7797
Per class
Build CPU time
0.0536
Build memory
2259016159.0986
F measure
0.6566
Per class
Kappa
0.4095
KB relative information score
23.5125
Mean absolute error
0.1633
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6745
Per class
Predictive accuracy
0.6901
Prior entropy
1.9094
Recall
0.6901
Per class
Relative absolute error
0.7909
Root mean prior squared error
0.317
Root mean squared error
0.2818
Root relative squared error
0.8891
SciMark benchmark
924.9295