DEVELOPMENT... OpenML
Run
133173

Run 133173

Task 3646 (Supervised Classification) rabe_265 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
0.6881
Per class
Build CPU time
0.0105
Build memory
1026193872.6275
F measure
0.6918
Per class
Kappa
0.3609
KB relative information score
9.0561
Mean absolute error
0.4041
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7075
Per class
Predictive accuracy
0.7059
Prior entropy
0.9791
Recall
0.7059
Per class
Relative absolute error
0.8332
Root mean prior squared error
0.4922
Root mean squared error
0.4626
Root relative squared error
0.9399
SciMark benchmark
943.8094