DEVELOPMENT... OpenML
Run
111156

Run 111156

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)_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.

21 Evaluation measures

Area under ROC curve
0.8742
Per class
Build CPU time
0.0561
Build memory
1002564236
F measure
0.8487
Per class
Kappa
0.6919
KB relative information score
70.0078
Mean absolute error
0.1462
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
0.8518
Per class
Predictive accuracy
0.85
Prior entropy
0.99
Recall
0.85
Per class
Relative absolute error
0.2965
Root mean prior squared error
0.4964
Root mean squared error
0.3762
Root relative squared error
0.758
SciMark benchmark
943.7751

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