Run
549215

Run 549215

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.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue

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
0.7342
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7005
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.427
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18.3291
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2988
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, 3.10.0-327.10.1.el7.x86_64]
Precision
0.7535
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7111
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9997
Cross-validation details (10-fold Crossvalidation)
Recall
0.7111
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5979
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5252
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0506
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1068.5052
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)