Run
245012

Run 245012

Task 265 (Supervised Classification) dermatology Uploaded 03-03-2015 by Joaquin Vanschoren
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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
0.9887
Per class
Cross-validation details (33% Holdout set)
F measure
0.7931
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7733
Cross-validation details (33% Holdout set)
KB relative information score
64.3516
Cross-validation details (33% Holdout set)
Mean absolute error
0.1589
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7948
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.825
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.825
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5987
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.2384
Cross-validation details (33% Holdout set)
Root relative squared error
0.6562
Cross-validation details (33% Holdout set)
SciMark benchmark
1334.9657
UserCPU time millis
1030
Cross-validation details (33% Holdout set)
UserCPU time millis training
1030
Cross-validation details (33% Holdout set)