DEVELOPMENT... OpenML
Run
133232

Run 133232

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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
0.5513
Per class
Build CPU time
0.0386
Build memory
734042468.6792
F measure
0.7091
Per class
Kappa
0.0904
KB relative information score
-18.6681
Mean absolute error
0.3365
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6929
Per class
Predictive accuracy
0.7421
Prior entropy
0.7667
Recall
0.7421
Per class
Relative absolute error
0.9745
Root mean prior squared error
0.4143
Root mean squared error
0.4414
Root relative squared error
1.0653
SciMark benchmark
943.8094