Run
57150

Run 57150

Task 1710 (Learning Curve) balance-scale 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
0.8842 ± 0.047
Per class
Build CPU time
0.0012
Build memory
1812683392.5
Kappa
0.4926 ± 0.105
KB relative information score
0.2492 ± 0.0329
Mean absolute error
0.3109 ± 0.0114
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7264 ± 0.0565
Prior entropy
1.3181 ± 0.0124
Recall
0.7264 ± 0.0565
Per class
Relative absolute error
0.8187 ± 0.0296
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3588 ± 0.0139
Root relative squared error
0.8237 ± 0.0313
SciMark benchmark
1910.4834