Run
549751

Run 549751

Task 3938 (Supervised Classification) lymphoma_2classes Uploaded 08-04-2016 by Jan van Rijn
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.JRip(5)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_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
0.7846
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7988
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5986
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.4798
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2365
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4998
Cross-validation details (10-fold Crossvalidation)
Number of instances
45
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8049
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9997
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4731
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4315
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8633
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
823.3988
UserCPU time millis
330
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
330
Cross-validation details (10-fold Crossvalidation)