Run
57998

Run 57998

Task 2094 (Learning Curve) adult Uploaded 14-11-2014 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_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8542 ± 0.0076
Per class
Build CPU time
678.5556
Build memory
2634644435.72
F measure
0.8167 ± 0.0065
Per class
Kappa
0.4937 ± 0.019
KB relative information score
0.4329 ± 0.0175
Mean absolute error
0.1826 ± 0.0056
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8158 ± 0.0068
Per class
Predictive accuracy
0.8178 ± 0.0062
Prior entropy
0.7938 ± 0.0002
Recall
0.8178 ± 0.0062
Per class
Relative absolute error
0.5016 ± 0.0153
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.4125 ± 0.0071
Root relative squared error
0.9667 ± 0.0166
SciMark benchmark
1066.2818