DEVELOPMENT... OpenML
Run
113273

Run 113273

Task 3552 (Supervised Classification) analcatdata_creditscore 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
0.9914
Per class
Build CPU time
0.0036
Build memory
309043787.2
F measure
0.9901
Per class
Kappa
0.9749
KB relative information score
96.3605
Mean absolute error
0.0109
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9904
Per class
Predictive accuracy
0.99
Prior entropy
0.8479
Recall
0.99
Per class
Relative absolute error
0.0274
Root mean prior squared error
0.444
Root mean squared error
0.1002
Root relative squared error
0.2256
SciMark benchmark
930.5854