DEVELOPMENT... OpenML
Run
137471

Run 137471

Task 3759 (Supervised Classification) fri_c3_500_25 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
0.9413
Per class
Build CPU time
1.8681
Build memory
37849984
F measure
0.8959
Per class
Kappa
0.7888
KB relative information score
392.9029
Mean absolute error
0.1052
Mean prior absolute error
0.4928
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8959
Per class
Predictive accuracy
0.896
Prior entropy
0.9897
Recall
0.896
Per class
Relative absolute error
0.2134
Root mean prior squared error
0.4964
Root mean squared error
0.3115
Root relative squared error
0.6275
SciMark benchmark
945.1987