DEVELOPMENT... OpenML
Run
113101

Run 113101

Task 259 (Supervised Classification) credit-approval Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9169
Per class
Build CPU time
0.097
Build memory
113308992
F measure
0.8635
Per class
Kappa
0.7271
KB relative information score
167.7343
Mean absolute error
0.1339
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
0.8652
Per class
Predictive accuracy
0.8634
Prior entropy
0.9913
Recall
0.8634
Per class
Relative absolute error
0.269
Root mean prior squared error
0.5008
Root mean squared error
0.3453
Root relative squared error
0.6895
SciMark benchmark
920.7965