DEVELOPMENT... OpenML
Run
111633

Run 111633

Task 3654 (Supervised Classification) fri_c1_100_10 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)_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.

21 Evaluation measures

Area under ROC curve
0.8141
Per class
Build CPU time
0.0945
Build memory
1476054168.8
F measure
0.7899
Per class
Kappa
0.578
KB relative information score
57.9244
Mean absolute error
0.2089
Mean prior absolute error
0.4982
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
0.7899
Per class
Predictive accuracy
0.79
Prior entropy
0.9975
Recall
0.79
Per class
Relative absolute error
0.4192
Root mean prior squared error
0.4991
Root mean squared error
0.4452
Root relative squared error
0.8919
SciMark benchmark
916.8516