DEVELOPMENT... OpenML
Run
132678

Run 132678

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6505
Per class
Build CPU time
0.6316
Build memory
1356482879.2925
F measure
0.6257
Per class
Kappa
0.2483
KB relative information score
37.2179
Mean absolute error
0.371
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6256
Per class
Predictive accuracy
0.6259
Prior entropy
0.9974
Recall
0.6259
Per class
Relative absolute error
0.7448
Root mean prior squared error
0.4991
Root mean squared error
0.5814
Root relative squared error
1.165
SciMark benchmark
920.6725