DEVELOPMENT... OpenML
Run
146837

Run 146837

Task 3923 (Supervised Classification) datatrieve Uploaded 01-02-2015 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.

22 Evaluation measures

Area under ROC curve
0.5126
Per class
F measure
0.8643
Per class
Kappa
0.0485
KB relative information score
-10.4103
Mean absolute error
0.1248
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8531
Per class
Predictive accuracy
0.8769
Prior entropy
0.4395
Recall
0.8769
Per class
Relative absolute error
0.7794
Root mean prior squared error
0.2784
Root mean squared error
0.3514
Root relative squared error
1.2622
SciMark benchmark
939.2687
UserCPU time millis
110
UserCPU time millis training
110