Run
57280

Run 57280

Task 1705 (Learning Curve) letter Uploaded 13-11-2014 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
0.893 ± 0.0401
Per class
Build CPU time
8.7363
Build memory
2441734173.2444
F measure
0.4839 ± 0.0101
Per class
Kappa
0.4781 ± 0.0206
KB relative information score
0.3953 ± 0.2012
Mean absolute error
0.059 ± 0.0078
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4967 ± 0.015
Per class
Predictive accuracy
0.4983 ± 0.0198
Prior entropy
4.6998 ± 0.0001
Recall
0.4983 ± 0.0198
Per class
Relative absolute error
0.7981 ± 0.106
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1668 ± 0.0136
Root relative squared error
0.8676 ± 0.0706
SciMark benchmark
1732.6592