DEVELOPMENT... OpenML
Run
146864

Run 146864

Task 3889 (Supervised Classification) sylva_agnostic 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
0.9891
Per class
F measure
0.9948
Per class
Kappa
0.9557
KB relative information score
13459.2998
Mean absolute error
0.0052
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9949
Per class
Predictive accuracy
0.9948
Prior entropy
0.3338
Recall
0.9948
Per class
Relative absolute error
0.0452
Root mean prior squared error
0.2403
Root mean squared error
0.0719
Root relative squared error
0.2992
SciMark benchmark
770.3451
UserCPU time millis
779470
UserCPU time millis testing
850
UserCPU time millis training
778620