Run
338363

Run 338363

Task 4648 (Supervised Classification) lymphoma_11classes Uploaded 27-03-2015 by Joaquin Vanschoren
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Flow

weka.LADTree(4)Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
weka.LADTree(4)_B10

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
0.9028
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.668
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6139
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
586.8375
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.068
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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6634
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.676
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.0892
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.676
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4383
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
0.2106
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7589
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1321.4771
UserCPU time millis
9770
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
9770
Cross-validation details (10 times 10-fold Crossvalidation)