DEVELOPMENT... OpenML
Run
112500

Run 112500

Task 36 (Supervised Classification) segment 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)_I20
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
0.9942
Per class
Build CPU time
1.5358
Build memory
582966658.4
F measure
0.9852
Per class
Kappa
0.9828
KB relative information score
2273.3863
Mean absolute error
0.0043
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9852
Per class
Predictive accuracy
0.9853
Prior entropy
2.8074
Recall
0.9853
Per class
Relative absolute error
0.0174
Root mean prior squared error
0.3499
Root mean squared error
0.0641
Root relative squared error
0.1833
SciMark benchmark
916.1588