Run
64878

Run 64878

Task 1714 (Learning Curve) breast-w Uploaded 18-11-2014 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.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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.

21 Evaluation measures

Area under ROC curve
0.9857 ± 0.0131
Per class
Build CPU time
1.88
Build memory
934902048.4
F measure
0.96 ± 0.0229
Per class
Kappa
0.9115 ± 0.0502
KB relative information score
0.9047 ± 0.0532
Mean absolute error
0.0416 ± 0.0232
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.96 ± 0.0225
Per class
Predictive accuracy
0.9599 ± 0.0231
Prior entropy
0.9293 ± 0.0043
Recall
0.9599 ± 0.0231
Per class
Relative absolute error
0.0921 ± 0.0514
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1951 ± 0.0644
Root relative squared error
0.4106 ± 0.1357
SciMark benchmark
1605.1864