DEVELOPMENT... OpenML
Run
154826

Run 154826

Task 1714 (Learning Curve) breast-w Uploaded 10-02-2015 by Jason
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.RandomTree(10)Weka implementation of RandomTree
weka.RandomTree(10)_K0
weka.RandomTree(10)_M1.0
weka.RandomTree(10)_V0.001
weka.RandomTree(10)_S1

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
0.9262 ± 0.0578
Per class
F measure
0.9381 ± 0.0492
Per class
Kappa
0.8621 ± 0.1105
KB relative information score
0.8548 ± 0.1135
Mean absolute error
0.063 ± 0.0491
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9384 ± 0.0494
Per class
Predictive accuracy
0.9385 ± 0.0486
Prior entropy
0.9293 ± 0.0043
Recall
0.9385 ± 0.0486
Per class
Relative absolute error
0.1394 ± 0.1088
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2482 ± 0.0924
Root relative squared error
0.5223 ± 0.1948
SciMark benchmark
639.2945