DEVELOPMENT... OpenML
Run
133190

Run 133190

Task 3665 (Supervised Classification) pyrim 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
0.9306
Per class
Build CPU time
0.017
Build memory
475533803.4595
F measure
0.8923
Per class
Kappa
0.7799
KB relative information score
51.4916
Mean absolute error
0.1559
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.894
Per class
Predictive accuracy
0.8919
Prior entropy
0.9819
Recall
0.8919
Per class
Relative absolute error
0.3201
Root mean prior squared error
0.4934
Root mean squared error
0.2897
Root relative squared error
0.5871
SciMark benchmark
943.8094