DEVELOPMENT... OpenML
Run
196094

Run 196094

Task 1702 (Learning Curve) kr-vs-kp 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
0.9919 ± 0.0033
Per class
F measure
0.9512 ± 0.0109
Per class
Kappa
0.9022 ± 0.0218
KB relative information score
0.7505 ± 0.0193
Mean absolute error
0.1434 ± 0.0101
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9512 ± 0.0109
Per class
Predictive accuracy
0.9512 ± 0.0109
Prior entropy
0.9986 ± 0.0002
Recall
0.9512 ± 0.0109
Per class
Relative absolute error
0.2874 ± 0.0203
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.2107 ± 0.0123
Root relative squared error
0.4219 ± 0.0245
SciMark benchmark
1572.5758
UserCPU time millis
140
UserCPU time millis testing
10
UserCPU time millis training
130