Run
54658

Run 54658

Task 2098 (Learning Curve) abalone Uploaded 09-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I10
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

19 Evaluation measures

Area under ROC curve
0.552 ± 0.0066
Per class
Build CPU time
0.093
Build memory
1173068269.2923
Kappa
0.1046 ± 0.0131
KB relative information score
0.1486 ± 0.0131
Mean absolute error
0.0553 ± 0.0008
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1989 ± 0.0114
Prior entropy
3.6031 ± 0.0188
Recall
0.1989 ± 0.0114
Per class
Relative absolute error
0.8955 ± 0.0127
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.2341 ± 0.0017
Root relative squared error
1.3325 ± 0.0096
SciMark benchmark
1716.1277