DEVELOPMENT... OpenML
Run
113153

Run 113153

Task 1802 (Supervised Classification) ecoli Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9431
Per class
Build CPU time
0.0264
Build memory
694856860.8
F measure
0.8194
Per class
Kappa
0.7578
KB relative information score
1239.6392
Mean absolute error
0.0436
Mean prior absolute error
0.1828
Number of instances
1680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8156
Per class
Predictive accuracy
0.8244
Prior entropy
2.2353
Recall
0.8244
Per class
Relative absolute error
0.2384
Root mean prior squared error
0.3016
Root mean squared error
0.2009
Root relative squared error
0.6659
SciMark benchmark
939.6298

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