DEVELOPMENT... OpenML
Run
146352

Run 146352

Task 38 (Supervised Classification) ecoli Uploaded 01-02-2015 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)_I80
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.

22 Evaluation measures

Area under ROC curve
0.917
Per class
F measure
0.8509
Per class
Kappa
0.8021
KB relative information score
258.9136
Mean absolute error
0.036
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
0.8491
Per class
Predictive accuracy
0.8571
Prior entropy
2.2353
Recall
0.8571
Per class
Relative absolute error
0.197
Root mean prior squared error
0.3016
Root mean squared error
0.1878
Root relative squared error
0.6227
SciMark benchmark
876.8277
UserCPU time millis
520
UserCPU time millis testing
40
UserCPU time millis training
480