DEVELOPMENT... OpenML
Run
110198

Run 110198

Task 259 (Supervised Classification) credit-approval 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
0.8528
Per class
Build CPU time
0.031
Build memory
270958080
F measure
0.8542
Per class
Kappa
0.7079
KB relative information score
161.8888
Mean absolute error
0.1469
Mean prior absolute error
0.4978
Number of instances
227
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8564
Per class
Predictive accuracy
0.8546
Prior entropy
0.9913
Recall
0.8546
Per class
Relative absolute error
0.2951
Root mean prior squared error
0.5008
Root mean squared error
0.3805
Root relative squared error
0.7597
SciMark benchmark
924.6733