DEVELOPMENT... OpenML
Run
146909

Run 146909

Task 39 (Supervised Classification) sonar 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
0.903
Per class
F measure
0.8506
Per class
Kappa
0.6996
KB relative information score
145.443
Mean absolute error
0.1495
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8513
Per class
Predictive accuracy
0.851
Prior entropy
0.9968
Recall
0.851
Per class
Relative absolute error
0.3004
Root mean prior squared error
0.4989
Root mean squared error
0.3782
Root relative squared error
0.7582
SciMark benchmark
940.2751
UserCPU time millis
870
UserCPU time millis training
870