Run
451461

Run 451461

Task 1890 (Supervised Classification) lymph Uploaded 20-05-2015 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
0.8683
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7847
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5982
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
766.3658
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1231
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1480
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.7797
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7905
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7905
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4597
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2915
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.801
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
608.4057
UserCPU time millis
50
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10 times 10-fold Crossvalidation)