OpenML
472783

Run 472783

Task 2372 (Supervised Classification) lung-cancer Uploaded 28-08-2015 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
0.6135
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4692
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1868
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7.4146
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3737
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4393
Cross-validation details (10-fold Crossvalidation)
Number of instances
32
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.4817
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4688
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.57
Cross-validation details (10-fold Crossvalidation)
Recall
0.4688
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8507
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5626
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2011
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
851.2074
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)