DEVELOPMENT... OpenML
Run
110102

Run 110102

Task 3874 (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
0.9441
Per class
Build CPU time
0.019
Build memory
74913441.2143
F measure
0.9464
Per class
Kappa
0.8904
KB relative information score
297.3249
Mean absolute error
0.0565
Mean prior absolute error
0.489
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
0.9464
Per class
Predictive accuracy
0.9464
Prior entropy
0.9842
Recall
0.9464
Per class
Relative absolute error
0.1156
Root mean prior squared error
0.4944
Root mean squared error
0.2307
Root relative squared error
0.4666
SciMark benchmark
923.3659