Run
50684

Run 50684

Task 1711 (Learning Curve) mfeat-factors Uploaded 06-11-2014 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.REPTree(5)Weka implementation of REPTree
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

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
0.9571 ± 0.007
Per class
Build CPU time
0.0502
Build memory
290886355.9273
F measure
0.8627 ± 0.0161
Per class
Kappa
0.8472 ± 0.0174
KB relative information score
0.8343 ± 0.0129
Mean absolute error
0.0386 ± 0.0028
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8635 ± 0.0145
Per class
Predictive accuracy
0.8625 ± 0.0157
Prior entropy
3.3219
Recall
0.8625 ± 0.0157
Per class
Relative absolute error
0.2142 ± 0.0158
Root mean prior squared error
0.3
Root mean squared error
0.1542 ± 0.0063
Root relative squared error
0.5141 ± 0.0209
SciMark benchmark
1955.1311