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Run
48493

Run 48493

Task 1711 (Learning Curve) mfeat-factors Uploaded 05-11-2014 by Jason
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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.

21 Evaluation measures

Area under ROC curve
0.9795 ± 0.0052
Per class
Build CPU time
0.239
Build memory
3444508945.0182
F measure
0.963 ± 0.0097
Per class
Kappa
0.9589 ± 0.0105
KB relative information score
0.9592 ± 0.0099
Mean absolute error
0.0084 ± 0.0019
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.963 ± 0.0096
Per class
Predictive accuracy
0.963 ± 0.0095
Prior entropy
3.3219
Recall
0.963 ± 0.0095
Per class
Relative absolute error
0.0464 ± 0.0105
Root mean prior squared error
0.3
Root mean squared error
0.0858 ± 0.0114
Root relative squared error
0.286 ± 0.0381
SciMark benchmark
1193.7396