DEVELOPMENT... OpenML
Run
113056

Run 113056

Task 38 (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
0.9484
Per class
Build CPU time
0.0456
Build memory
620761713.9286
F measure
0.8421
Per class
Kappa
0.7888
KB relative information score
254.2818
Mean absolute error
0.0396
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
0.8416
Per class
Predictive accuracy
0.8482
Prior entropy
2.2353
Recall
0.8482
Per class
Relative absolute error
0.2169
Root mean prior squared error
0.3016
Root mean squared error
0.1863
Root relative squared error
0.6177
SciMark benchmark
943.7751