Run
223547

Run 223547

Task 4648 (Supervised Classification) lymphoma_11classes Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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
0.8811
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4772
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4015
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
97.0915
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1542
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1551
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
960
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6675
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5281
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.0892
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5281
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.994
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2776
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2729
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9832
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis
70
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)