Run
64983

Run 64983

Task 1752 (Learning Curve) vehicle Uploaded 19-11-2014 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
0.751 ± 0.0622
Per class
Build CPU time
1.6374
Build memory
3216641118.0445
F measure
0.4009 ± 0.0573
Per class
Kappa
0.2762 ± 0.059
KB relative information score
0.1987 ± 0.0994
Mean absolute error
0.3346 ± 0.0213
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5833 ± 0.0716
Per class
Predictive accuracy
0.4527 ± 0.0451
Prior entropy
1.9991 ± 0.0005
Recall
0.4527 ± 0.0451
Per class
Relative absolute error
0.8926 ± 0.0569
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.405 ± 0.0151
Root relative squared error
0.9355 ± 0.0348
SciMark benchmark
1885.6155