Run
54609

Run 54609

Task 2102 (Learning Curve) eucalyptus 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_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

19 Evaluation measures

Area under ROC curve
0.739 ± 0.0217
Per class
Build CPU time
0.0012
Build memory
174646343
Kappa
0.3028 ± 0.0309
KB relative information score
0.3126 ± 0.0195
Mean absolute error
0.2472 ± 0.0073
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.4946 ± 0.0236
Prior entropy
2.2621 ± 0.0043
Recall
0.4946 ± 0.0236
Per class
Relative absolute error
0.7891 ± 0.023
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3532 ± 0.0071
Root relative squared error
0.8926 ± 0.0177
SciMark benchmark
1634.4504