Run
51815

Run 51815

Task 1730 (Learning Curve) credit-g Uploaded 07-11-2014 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_REPTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001
weka.MultiBoostAB_REPTree(2)_C3
weka.MultiBoostAB_REPTree(2)_P100
weka.MultiBoostAB_REPTree(2)_S1
weka.MultiBoostAB_REPTree(2)_I10
weka.MultiBoostAB_REPTree(2)_Wweka.classifiers.trees.REPTree

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
0.7541 ± 0.0261
Per class
Build CPU time
0.0193
Build memory
2125980703.8222
F measure
0.7204 ± 0.0292
Per class
Kappa
0.3095 ± 0.0737
KB relative information score
0.3274 ± 0.0581
Mean absolute error
0.2641 ± 0.0216
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7209 ± 0.0318
Per class
Predictive accuracy
0.739 ± 0.026
Prior entropy
0.8813
Recall
0.739 ± 0.026
Per class
Relative absolute error
0.6286 ± 0.0514
Root mean prior squared error
0.4583
Root mean squared error
0.4796 ± 0.0244
Root relative squared error
1.0465 ± 0.0533
SciMark benchmark
1914.93