DEVELOPMENT... OpenML
Run
146344

Run 146344

Task 30 (Supervised Classification) page-blocks Uploaded 01-02-2015 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)_I80
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.

22 Evaluation measures

Area under ROC curve
0.9807
Per class
F measure
0.9705
Per class
Kappa
0.8438
KB relative information score
4353.4865
Mean absolute error
0.0121
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9703
Per class
Predictive accuracy
0.9708
Prior entropy
0.6391
Recall
0.9708
Per class
Relative absolute error
0.1591
Root mean prior squared error
0.1949
Root mean squared error
0.1041
Root relative squared error
0.5344
SciMark benchmark
932.3943
UserCPU time millis
2300
UserCPU time millis testing
60
UserCPU time millis training
2240