DEVELOPMENT... OpenML
Run
133010

Run 133010

Task 2353 (Supervised Classification) meta_batchincremental.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
0.797
Per class
Build CPU time
0.038
Build memory
1831119632
F measure
0.7787
Per class
Kappa
0.4828
KB relative information score
3.927
Mean absolute error
0.174
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7987
Per class
Predictive accuracy
0.7917
Prior entropy
1.3842
Recall
0.7917
Per class
Relative absolute error
0.7735
Root mean prior squared error
0.3095
Root mean squared error
0.2944
Root relative squared error
0.9511
SciMark benchmark
945.5885