OpenML
473906

Run 473906

Task 4609 (Supervised Classification) jm1 Uploaded 08-09-2015 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
0.7164
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.756
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.13
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2500.5849
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.278
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3121
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
108850
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
0.7636
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8085
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7088
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8085
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8907
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.395
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3743
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9477
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
931.4089