DEVELOPMENT... OpenML
Run
109107

Run 109107

Task 38 (Supervised Classification) ecoli Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.8603
Per class
Build CPU time
0.0308
Build memory
112600742.9286
F measure
0.7954
Per class
Kappa
0.7216
KB relative information score
231.0104
Mean absolute error
0.0549
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
0.7939
Per class
Predictive accuracy
0.7976
Prior entropy
2.2353
Recall
0.7976
Per class
Relative absolute error
0.3005
Root mean prior squared error
0.3016
Root mean squared error
0.2222
Root relative squared error
0.7366
SciMark benchmark
945.5885