DEVELOPMENT... OpenML
Run
109735

Run 109735

Task 1802 (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)_I80
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
0.8779
Per class
Build CPU time
0.0096
Build memory
381925596
F measure
0.8065
Per class
Kappa
0.735
KB relative information score
1162.3249
Mean absolute error
0.056
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
0.8074
Per class
Predictive accuracy
0.8071
Prior entropy
2.2353
Recall
0.8071
Per class
Relative absolute error
0.3062
Root mean prior squared error
0.3016
Root mean squared error
0.2151
Root relative squared error
0.713
SciMark benchmark
941.1732