DEVELOPMENT... OpenML
Run
112330

Run 112330

Task 3779 (Supervised Classification) fri_c3_100_5 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
0.877
Per class
Build CPU time
0.0449
Build memory
2124947130.4
F measure
0.8479
Per class
Kappa
0.6903
KB relative information score
70.6474
Mean absolute error
0.1429
Mean prior absolute error
0.4929
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
0.8547
Per class
Predictive accuracy
0.85
Prior entropy
0.99
Recall
0.85
Per class
Relative absolute error
0.29
Root mean prior squared error
0.4964
Root mean squared error
0.3676
Root relative squared error
0.7405
SciMark benchmark
934.2858