DEVELOPMENT... OpenML
Run
112384

Run 112384

Task 3800 (Supervised Classification) fri_c3_500_50 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)_I40
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
0.8879
Per class
Build CPU time
2.2563
Build memory
786616679.2
F measure
0.8612
Per class
Kappa
0.7169
KB relative information score
358.4506
Mean absolute error
0.1381
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8625
Per class
Predictive accuracy
0.862
Prior entropy
0.9882
Recall
0.862
Per class
Relative absolute error
0.2807
Root mean prior squared error
0.4959
Root mean squared error
0.365
Root relative squared error
0.736
SciMark benchmark
916.8516