DEVELOPMENT... OpenML
Run
111959

Run 111959

Task 277 (Supervised Classification) tae 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
0.7109
Per class
Build CPU time
0.015
Build memory
57651160
F measure
0.612
Per class
Kappa
0.4181
KB relative information score
20.3645
Mean absolute error
0.2968
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6148
Per class
Predictive accuracy
0.6122
Prior entropy
1.5845
Recall
0.6122
Per class
Relative absolute error
0.6678
Root mean prior squared error
0.4715
Root mean squared error
0.4635
Root relative squared error
0.983
SciMark benchmark
939.6298