DEVELOPMENT... OpenML
Run
132917

Run 132917

Task 277 (Supervised Classification) tae 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
0.757
Per class
Build CPU time
0.337
Build memory
535177080
F measure
0.6191
Per class
Kappa
0.4203
KB relative information score
23.496
Mean absolute error
0.2527
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6341
Per class
Predictive accuracy
0.6122
Prior entropy
1.5845
Recall
0.6122
Per class
Relative absolute error
0.5684
Root mean prior squared error
0.4715
Root mean squared error
0.4804
Root relative squared error
1.0189
SciMark benchmark
945.5885