DEVELOPMENT... OpenML
Run
133696

Run 133696

Task 3559 (Supervised Classification) confidence Uploaded 28-12-2014 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)_I10
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
0.973
Per class
Build CPU time
0.0139
Build memory
409476468.2222
F measure
0.8482
Per class
Kappa
0.8167
KB relative information score
56.7809
Mean absolute error
0.0802
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.85
Per class
Predictive accuracy
0.8472
Prior entropy
2.585
Recall
0.8472
Per class
Relative absolute error
0.2888
Root mean prior squared error
0.3727
Root mean squared error
0.2074
Root relative squared error
0.5566
SciMark benchmark
939.084