DEVELOPMENT... OpenML
Run
137457

Run 137457

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I160
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.892
Per class
Build CPU time
0.0665
Build memory
1262331395.2
F measure
0.8281
Per class
Kappa
0.6452
KB relative information score
61.8741
Mean absolute error
0.1867
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8306
Per class
Predictive accuracy
0.83
Prior entropy
0.9822
Recall
0.83
Per class
Relative absolute error
0.383
Root mean prior squared error
0.4936
Root mean squared error
0.3972
Root relative squared error
0.8048
SciMark benchmark
916.3022