Run
57170

Run 57170

Task 1735 (Learning Curve) segment 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
0.7684 ± 0.013
Per class
Build CPU time
0.0029
Build memory
2358905126.2
Kappa
0.1662 ± 0.0016
KB relative information score
0.3115 ± 0.0076
Mean absolute error
0.209 ± 0.0017
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2853 ± 0.0014
Prior entropy
2.8074
Recall
0.2853 ± 0.0014
Per class
Relative absolute error
0.8534 ± 0.0069
Root mean prior squared error
0.3499
Root mean squared error
0.3235 ± 0.0016
Root relative squared error
0.9245 ± 0.0047
SciMark benchmark
1910.4834