Run
297296

Run 297296

Task 94 (Learning Curve) dermatology Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.InputMappedClassifier_ZeroR(1)Weka implementation of InputMappedClassifier
weka.InputMappedClassifier_ZeroR(1)_Itrue
weka.InputMappedClassifier_ZeroR(1)_trimtrue
weka.InputMappedClassifier_ZeroR(1)_Wweka.classifiers.rules.ZeroR

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
0.4867
Per class
KB relative information score
0.0007 ± 0.0003
Mean absolute error
0.2665 ± 0.0004
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.306 ± 0.0099
Prior entropy
2.4327 ± 0.0089
Recall
0.306 ± 0.0099
Per class
Relative absolute error
1.0001 ± 0.0002
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.3649 ± 0.0006
Root relative squared error
1.0001 ± 0
SciMark benchmark
1327.0519
UserCPU time millis
10
UserCPU time millis testing
10