DEVELOPMENT... OpenML
Run
112004

Run 112004

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)_I40
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
0.916
Per class
Build CPU time
0.1063
Build memory
624865546.4
F measure
0.8332
Per class
Kappa
0.7768
KB relative information score
1256.8752
Mean absolute error
0.0404
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
0.8293
Per class
Predictive accuracy
0.8387
Prior entropy
2.2353
Recall
0.8387
Per class
Relative absolute error
0.221
Root mean prior squared error
0.3016
Root mean squared error
0.1994
Root relative squared error
0.661
SciMark benchmark
923.9118