Run
25034

Run 25034

Task 62 (Learning Curve) anneal Uploaded 16-08-2014 by Jan van Rijn
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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
0.9025 ± 0.0265
Per class
Build CPU time
0.0067
Build memory
206328490.9778
Kappa
0.4347 ± 0.021
KB relative information score
0.2507 ± 0.0314
Mean absolute error
0.1201 ± 0.0034
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.13.0-32-generic]
Predictive accuracy
0.8363 ± 0.005
Prior entropy
1.1915 ± 0.0248
Recall
0.8363 ± 0.005
Per class
Relative absolute error
0.8945 ± 0.0256
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.2132 ± 0.0046
Root relative squared error
0.8258 ± 0.0168
SciMark benchmark
775.9981[469.1340932148987973.7013819753541408.57755533778607770.7851120633991257.7921058814234]