DEVELOPMENT... OpenML
Run
133324

Run 133324

Task 3818 (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
0.7804
Per class
Build CPU time
0.392
Build memory
1109210290.8609
F measure
0.7942
Per class
Kappa
0.5433
KB relative information score
76.1
Mean absolute error
0.2164
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7938
Per class
Predictive accuracy
0.7947
Prior entropy
0.9308
Recall
0.7947
Per class
Relative absolute error
0.4785
Root mean prior squared error
0.4752
Root mean squared error
0.4542
Root relative squared error
0.9559
SciMark benchmark
943.8094