DEVELOPMENT... OpenML
Run
154843

Run 154843

Task 1740 (Learning Curve) soybean 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
0.9284 ± 0.0275
Per class
F measure
0.8597 ± 0.0205
Per class
Kappa
0.8458 ± 0.0471
KB relative information score
0.8486 ± 0.0558
Mean absolute error
0.0174 ± 0.0042
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8644 ± 0.0164
Per class
Predictive accuracy
0.8594 ± 0.0429
Prior entropy
3.8358 ± 0.0227
Recall
0.8594 ± 0.0429
Per class
Relative absolute error
0.1806 ± 0.044
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.1206 ± 0.0183
Root relative squared error
0.5505 ± 0.0838
SciMark benchmark
639.2945
UserCPU time millis
10
UserCPU time millis training
10