Run
154803

Run 154803

Task 1736 (Learning Curve) diabetes Uploaded 10-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


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
0.7649 ± 0.051
Per class
F measure
0.7283 ± 0.0455
Per class
Kappa
0.3979 ± 0.0934
KB relative information score
0.2877 ± 0.0814
Mean absolute error
0.3262 ± 0.0331
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7269 ± 0.0464
Per class
Predictive accuracy
0.7305 ± 0.0484
Prior entropy
0.9331 ± 0.0046
Recall
0.7305 ± 0.0484
Per class
Relative absolute error
0.7178 ± 0.0714
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.435 ± 0.0292
Root relative squared error
0.9126 ± 0.0592
SciMark benchmark
639.2945