DEVELOPMENT... OpenML
Run
110538

Run 110538

Task 3672 (Supervised Classification) kin8nm 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)_I160
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
0.8088
Per class
Build CPU time
4.9339
Build memory
1048035951.5488
F measure
0.8088
Per class
Kappa
0.6176
KB relative information score
5057.6101
Mean absolute error
0.1912
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8089
Per class
Predictive accuracy
0.8088
Prior entropy
0.9998
Recall
0.8088
Per class
Relative absolute error
0.3826
Root mean prior squared error
0.4999
Root mean squared error
0.4372
Root relative squared error
0.8745
SciMark benchmark
942.0692