DEVELOPMENT... OpenML
Run
132160

Run 132160

Task 3852 (Supervised Classification) anneal 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
0.9642
Per class
Build CPU time
12.5448
Build memory
959610663.804
F measure
0.9531
Per class
Kappa
0.8703
KB relative information score
765.2882
Mean absolute error
0.0476
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.953
Per class
Predictive accuracy
0.9532
Prior entropy
0.7932
Recall
0.9532
Per class
Relative absolute error
0.1311
Root mean prior squared error
0.426
Root mean squared error
0.2117
Root relative squared error
0.497
SciMark benchmark
943.7751