DEVELOPMENT... OpenML
Run
197398

Run 197398

Task 2102 (Learning Curve) eucalyptus Uploaded 26-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.8716 ± 0.0255
Per class
Kappa
0.4163 ± 0.0428
KB relative information score
0.3066 ± 0.0231
Mean absolute error
0.2508 ± 0.006
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.5611 ± 0.0312
Prior entropy
2.2621 ± 0.0043
Recall
0.5611 ± 0.0312
Per class
Relative absolute error
0.8008 ± 0.0189
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.337 ± 0.0067
Root relative squared error
0.8516 ± 0.0167
SciMark benchmark
1572.5758
UserCPU time millis
220
UserCPU time millis training
220