DEVELOPMENT... OpenML
Run
196543

Run 196543

Task 1717 (Learning Curve) mfeat-morphological 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.

22 Evaluation measures

Area under ROC curve
0.9294 ± 0.0084
Per class
F measure
0.471 ± 0.0122
Per class
Kappa
0.4844 ± 0.0237
KB relative information score
0.514 ± 0.006
Mean absolute error
0.127 ± 0.0008
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.4838 ± 0.0189
Per class
Predictive accuracy
0.536 ± 0.0213
Prior entropy
3.3219
Recall
0.536 ± 0.0213
Per class
Relative absolute error
0.7054 ± 0.0047
Root mean prior squared error
0.3
Root mean squared error
0.2365 ± 0.0014
Root relative squared error
0.7883 ± 0.0047
SciMark benchmark
1572.5758
UserCPU time millis
70
UserCPU time millis training
70