Run
62287

Run 62287

Task 1710 (Learning Curve) balance-scale Uploaded 16-11-2014 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
0.9724 ± 0.0098
Per class
Build CPU time
0.1108
Build memory
1069073177.3
F measure
0.8496 ± 0.0196
Per class
Kappa
0.7573 ± 0.0496
KB relative information score
0.6877 ± 0.0458
Mean absolute error
0.1189 ± 0.018
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8366 ± 0.0172
Per class
Predictive accuracy
0.8656 ± 0.0291
Prior entropy
1.3181 ± 0.0124
Recall
0.8656 ± 0.0291
Per class
Relative absolute error
0.3132 ± 0.0479
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2434 ± 0.0243
Root relative squared error
0.5588 ± 0.0571
SciMark benchmark
1592.7924