DEVELOPMENT... OpenML
Run
111477

Run 111477

Task 2121 (Supervised Classification) abalone 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)_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.

21 Evaluation measures

Area under ROC curve
0.6211
Per class
Build CPU time
23.825
Build memory
518930536
F measure
0.2198
Per class
Kappa
0.1279
KB relative information score
254.9691
Mean absolute error
0.0532
Mean prior absolute error
0.0618
Number of instances
1378
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.217
Per class
Predictive accuracy
0.2271
Prior entropy
3.6268
Recall
0.2271
Per class
Relative absolute error
0.861
Root mean prior squared error
0.1757
Root mean squared error
0.2248
Root relative squared error
1.2797
SciMark benchmark
945.0532