Run
54699

Run 54699

Task 1722 (Learning Curve) cmc 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_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.6858 ± 0.0236
Per class
Build CPU time
0.2093
Build memory
802381575.92
F measure
0.5527 ± 0.0421
Per class
Kappa
0.3056 ± 0.0647
KB relative information score
0.0808 ± 0.0088
Mean absolute error
0.422 ± 0.0026
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5586 ± 0.042
Per class
Predictive accuracy
0.554 ± 0.0439
Prior entropy
1.539 ± 0.0029
Recall
0.554 ± 0.0439
Per class
Relative absolute error
0.9795 ± 0.0065
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4521 ± 0.0028
Root relative squared error
0.974 ± 0.0063
SciMark benchmark
1634.4504