DEVELOPMENT... OpenML
Run
133391

Run 133391

Task 3890 (Supervised Classification) ada_prior 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
0.8765
Per class
Build CPU time
1.2677
Build memory
2354247032.5436
F measure
0.8228
Per class
Kappa
0.5133
KB relative information score
1709.9701
Mean absolute error
0.2218
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
0.8208
Per class
Predictive accuracy
0.8279
Prior entropy
0.8085
Recall
0.8279
Per class
Relative absolute error
0.5944
Root mean prior squared error
0.4319
Root mean squared error
0.3433
Root relative squared error
0.7949
SciMark benchmark
943.8094