DEVELOPMENT... OpenML
Run
137617

Run 137617

Task 38 (Supervised Classification) ecoli 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)_I80
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
0.9532
Per class
Build CPU time
0.034
Build memory
97925401.7381
F measure
0.8475
Per class
Kappa
0.7952
KB relative information score
243.0121
Mean absolute error
0.0554
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8451
Per class
Predictive accuracy
0.8512
Prior entropy
2.2353
Recall
0.8512
Per class
Relative absolute error
0.3031
Root mean prior squared error
0.3016
Root mean squared error
0.1749
Root relative squared error
0.5799
SciMark benchmark
935.1201