DEVELOPMENT... OpenML
Run
131593

Run 131593

Task 3891 (Supervised Classification) gina_agnostic Uploaded 26-12-2014 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)_I160
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
0.9801
Per class
Build CPU time
5.2796
Build memory
1191911134.233
F measure
0.9299
Per class
Kappa
0.8598
KB relative information score
2023.9602
Mean absolute error
0.2343
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9299
Per class
Predictive accuracy
0.9299
Prior entropy
0.9998
Recall
0.9299
Per class
Relative absolute error
0.4688
Root mean prior squared error
0.4999
Root mean squared error
0.2828
Root relative squared error
0.5657
SciMark benchmark
945.0532