DEVELOPMENT... OpenML
Run
110534

Run 110534

Task 3917 (Supervised Classification) kc1 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
0.6337
Per class
Build CPU time
58.2305
Build memory
566148652.0967
F measure
0.8326
Per class
Kappa
0.3391
KB relative information score
444.6404
Mean absolute error
0.1692
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8281
Per class
Predictive accuracy
0.8383
Prior entropy
0.622
Recall
0.8383
Per class
Relative absolute error
0.647
Root mean prior squared error
0.3615
Root mean squared error
0.4017
Root relative squared error
1.1113
SciMark benchmark
919.8064