Run
54553

Run 54553

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_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.693 ± 0.0214
Per class
Build CPU time
7.4701
Build memory
1941456870.2154
Kappa
0.1404 ± 0.0149
KB relative information score
0.0257 ± 0.005
Mean absolute error
0.0661 ± 0.0001
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.242 ± 0.0134
Prior entropy
3.6031 ± 0.0188
Recall
0.242 ± 0.0134
Per class
Relative absolute error
1.0695 ± 0.0019
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1811 ± 0.0003
Root relative squared error
1.0308 ± 0.0018
SciMark benchmark
1853.1129