DEVELOPMENT... OpenML
Run
174476

Run 174476

Task 4648 (Supervised Classification) lymphoma_11classes Uploaded 21-02-2015 by Jason
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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
0.5824
Per class
F measure
0.2928
Per class
Kappa
0.167
KB relative information score
211.0631
Mean absolute error
0.1241
Mean prior absolute error
0.1551
Number of instances
960
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3074
Per class
Predictive accuracy
0.3177
Prior entropy
3.0892
Recall
0.3177
Per class
Relative absolute error
0.7997
Root mean prior squared error
0.2776
Root mean squared error
0.3522
Root relative squared error
1.2689
SciMark benchmark
1465.2979
UserCPU time millis
90
UserCPU time millis training
90