Run
57157

Run 57157

Task 1720 (Learning Curve) car Uploaded 12-11-2014 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
0.8731 ± 0.0166
Per class
Build CPU time
0.0034
Build memory
2448681647.7091
KB relative information score
-0.1578 ± 0.014
Mean absolute error
0.2756 ± 0.0016
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7002 ± 0.0023
Prior entropy
1.2058 ± 0.0093
Recall
0.7002 ± 0.0023
Per class
Relative absolute error
1.2035 ± 0.009
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.3348 ± 0.0015
Root relative squared error
0.9902 ± 0.0062
SciMark benchmark
1910.4834