DEVELOPMENT... OpenML
Run
196508

Run 196508

Task 1710 (Learning Curve) balance-scale Uploaded 26-02-2015 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.RBFClassifier(3)Weka implementation of RBFClassifier
weka.RBFClassifier(3)_N2
weka.RBFClassifier(3)_R0.01
weka.RBFClassifier(3)_L1.0E-6
weka.RBFClassifier(3)_C2
weka.RBFClassifier(3)_P1
weka.RBFClassifier(3)_E1
weka.RBFClassifier(3)_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.

20 Evaluation measures

Area under ROC curve
0.9582 ± 0.0087
Per class
Kappa
0.7478 ± 0.0671
KB relative information score
0.6292 ± 0.0234
Mean absolute error
0.137 ± 0.0153
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.864 ± 0.0363
Prior entropy
1.3181 ± 0.0124
Recall
0.864 ± 0.0363
Per class
Relative absolute error
0.3607 ± 0.0401
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2424 ± 0.022
Root relative squared error
0.5564 ± 0.0499
SciMark benchmark
1572.5758
UserCPU time millis
10
UserCPU time millis training
10