Run
64883

Run 64883

Task 1705 (Learning Curve) letter 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.

19 Evaluation measures

Area under ROC curve
0.8859 ± 0.0035
Per class
Build CPU time
159.805
Build memory
1583361837.0667
Kappa
0.3897 ± 0.0115
KB relative information score
0.1855 ± 0.0043
Mean absolute error
0.0712 ± 0.0001
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.4134 ± 0.011
Prior entropy
4.6998 ± 0.0001
Recall
0.4134 ± 0.011
Per class
Relative absolute error
0.9624 ± 0.0015
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1872 ± 0.0002
Root relative squared error
0.9735 ± 0.0012
SciMark benchmark
1885.6155