DEVELOPMENT... OpenML
Run
146922

Run 146922

Task 57 (Supervised Classification) ionosphere 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)_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.

22 Evaluation measures

Area under ROC curve
0.9284
Per class
F measure
0.9335
Per class
Kappa
0.8538
KB relative information score
299.5846
Mean absolute error
0.0647
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9363
Per class
Predictive accuracy
0.9345
Prior entropy
0.9425
Recall
0.9345
Per class
Relative absolute error
0.1405
Root mean prior squared error
0.4797
Root mean squared error
0.253
Root relative squared error
0.5275
SciMark benchmark
945.3151
UserCPU time millis
840
UserCPU time millis training
840