DEVELOPMENT... OpenML
Run
52787

Run 52787

Task 1728 (Learning Curve) credit-approval Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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
0.8083 ± 0.067
Per class
Build CPU time
0.0173
Build memory
643015174.7
F measure
0.8125 ± 0.0645
Per class
Kappa
0.6197 ± 0.1309
KB relative information score
0.618 ± 0.1292
Mean absolute error
0.188 ± 0.0633
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8127 ± 0.0629
Per class
Predictive accuracy
0.813 ± 0.0635
Prior entropy
0.9912 ± 0.0022
Recall
0.813 ± 0.0635
Per class
Relative absolute error
0.3805 ± 0.1283
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.4317 ± 0.0757
Root relative squared error
0.8687 ± 0.1526
SciMark benchmark
1678.1065