OpenML
292909

Run 292909

Task 85 (Learning Curve) nursery Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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.

20 Evaluation measures

Area under ROC curve
0.9958 ± 0.0015
Per class
Kappa
0.9411 ± 0.0078
KB relative information score
0.9384 ± 0.0076
Mean absolute error
0.0189 ± 0.002
Mean prior absolute error
0.273 ± 0.0001
Number of instances
129600
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.9599 ± 0.0053
Prior entropy
1.7165 ± 0.0037
Recall
0.9599 ± 0.0053
Per class
Relative absolute error
0.0691 ± 0.0075
Root mean prior squared error
0.3695 ± 0.0001
Root mean squared error
0.1055 ± 0.0071
Root relative squared error
0.2856 ± 0.0192
SciMark benchmark
1357.9528
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20