DEVELOPMENT... OpenML
Run
51821

Run 51821

Task 1735 (Learning Curve) segment Uploaded 07-11-2014 by Jason
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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
0.9971 ± 0.0004
Per class
Build CPU time
0.1016
Build memory
2060661135.1333
F measure
0.9719 ± 0.0099
Per class
Kappa
0.9672 ± 0.0115
KB relative information score
0.9691 ± 0.0113
Mean absolute error
0.0085 ± 0.0031
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9719 ± 0.0098
Per class
Predictive accuracy
0.9719 ± 0.0098
Prior entropy
2.8074
Recall
0.9719 ± 0.0098
Per class
Relative absolute error
0.0348 ± 0.0128
Root mean prior squared error
0.3499
Root mean squared error
0.0874 ± 0.0162
Root relative squared error
0.2498 ± 0.0462
SciMark benchmark
1914.93

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