DEVELOPMENT... OpenML
Run
133411

Run 133411

Task 3915 (Supervised Classification) kc3 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
0.7052
Per class
Build CPU time
1.1585
Build memory
763438446.952
F measure
0.8702
Per class
Kappa
0.1249
KB relative information score
10.9855
Mean absolute error
0.1176
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8576
Per class
Predictive accuracy
0.893
Prior entropy
0.4551
Recall
0.893
Per class
Relative absolute error
0.6856
Root mean prior squared error
0.2917
Root mean squared error
0.3142
Root relative squared error
1.0771
SciMark benchmark
943.8094