OpenML
171497

Run 171497

Task 4267 (Supervised Classification) lupus Uploaded 20-02-2015 by Jan van Rijn
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Flow

weka.ZeroR(8)Weka implementation of 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.

22 Evaluation measures

Area under ROC curve
0.4497
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4472
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-1.8235
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4818
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4813
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
870
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3572
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5977
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9735
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5977
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.001
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4904
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4909
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.001
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1335.643
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)