DEVELOPMENT... OpenML
Run
132796

Run 132796

Task 3896 (Supervised Classification) ada_agnostic 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)_I40
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
0.8887
Per class
Build CPU time
3.2923
Build memory
839395168.3893
F measure
0.8421
Per class
Kappa
0.5642
KB relative information score
1813.2959
Mean absolute error
0.2156
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8414
Per class
Predictive accuracy
0.8479
Prior entropy
0.8085
Recall
0.8479
Per class
Relative absolute error
0.5777
Root mean prior squared error
0.4319
Root mean squared error
0.3316
Root relative squared error
0.7677
SciMark benchmark
945.5885