DEVELOPMENT... OpenML
Run
146393

Run 146393

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)_I160
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
0.989
Per class
F measure
0.9949
Per class
Kappa
0.9564
KB relative information score
13473.1557
Mean absolute error
0.0051
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
0.995
Per class
Predictive accuracy
0.9949
Prior entropy
0.3338
Recall
0.9949
Per class
Relative absolute error
0.0445
Root mean prior squared error
0.2403
Root mean squared error
0.0717
Root relative squared error
0.2982
SciMark benchmark
770.3451
UserCPU time millis
2259130
UserCPU time millis testing
1610
UserCPU time millis training
2257520