OpenML
292879

Run 292879

Task 77 (Learning Curve) mfeat-morphological 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.

22 Evaluation measures

Area under ROC curve
0.9442 ± 0.0105
Per class
F measure
0.6932 ± 0.0234
Per class
Kappa
0.6864 ± 0.0266
KB relative information score
0.7342 ± 0.018
Mean absolute error
0.0692 ± 0.0031
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7082 ± 0.0384
Per class
Predictive accuracy
0.7178 ± 0.0239
Prior entropy
3.3219
Recall
0.7178 ± 0.0239
Per class
Relative absolute error
0.3846 ± 0.0174
Root mean prior squared error
0.3
Root mean squared error
0.1954 ± 0.0079
Root relative squared error
0.6515 ± 0.0263
SciMark benchmark
1338.2217
UserCPU time millis
10
UserCPU time millis training
10