DEVELOPMENT... OpenML
Run
131734

Run 131734

Task 1768 (Supervised Classification) labor 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)_I80
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
0.9326
Per class
Build CPU time
0.0174
Build memory
910212042.7509
F measure
0.8398
Per class
Kappa
0.6413
KB relative information score
136.3991
Mean absolute error
0.2526
Mean prior absolute error
0.457
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8482
Per class
Predictive accuracy
0.8456
Prior entropy
0.9393
Recall
0.8456
Per class
Relative absolute error
0.5528
Root mean prior squared error
0.4773
Root mean squared error
0.3332
Root relative squared error
0.6981
SciMark benchmark
942.3945