Run
173439

Run 173439

Task 2111 (Supervised Classification) primary-tumor Uploaded 21-02-2015 by Jan van Rijn
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Flow

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_B6

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
0.5132
Per class
Cross-validation details (33% Holdout set)
F measure
0.1112
Per class
Cross-validation details (33% Holdout set)
Kappa
0.0312
Cross-validation details (33% Holdout set)
KB relative information score
14.8764
Cross-validation details (33% Holdout set)
Mean absolute error
0.0672
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0811
Cross-validation details (33% Holdout set)
Number of instances
111
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.0706
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.2613
Cross-validation details (33% Holdout set)
Prior entropy
3.7542
Cross-validation details (33% Holdout set)
Recall
0.2613
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8276
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2009
Cross-validation details (33% Holdout set)
Root mean squared error
0.2591
Cross-validation details (33% Holdout set)
Root relative squared error
1.2898
Cross-validation details (33% Holdout set)
SciMark benchmark
1465.2979