DEVELOPMENT... OpenML
Run
154838

Run 154838

Task 1730 (Learning Curve) credit-g 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
0.5995 ± 0.0687
Per class
F measure
0.6697 ± 0.0648
Per class
Kappa
0.2085 ± 0.1476
KB relative information score
0.1356 ± 0.1638
Mean absolute error
0.339 ± 0.063
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6677 ± 0.0628
Per class
Predictive accuracy
0.672 ± 0.0683
Prior entropy
0.8813
Recall
0.672 ± 0.0683
Per class
Relative absolute error
0.8069 ± 0.15
Root mean prior squared error
0.4583
Root mean squared error
0.5677 ± 0.057
Root relative squared error
1.2389 ± 0.1244
SciMark benchmark
639.2945