DEVELOPMENT... OpenML
Run
110742

Run 110742

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)_I160
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
0.913
Per class
Build CPU time
0.7631
Build memory
979605245.0476
F measure
0.8447
Per class
Kappa
0.7902
KB relative information score
256.2785
Mean absolute error
0.0377
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
0.8431
Per class
Predictive accuracy
0.8482
Prior entropy
2.2353
Recall
0.8482
Per class
Relative absolute error
0.2063
Root mean prior squared error
0.3016
Root mean squared error
0.1938
Root relative squared error
0.6424
SciMark benchmark
907.4175