Run
337071

Run 337071

Task 243 (Supervised Classification) breast-cancer Uploaded 27-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6159
Per class
Cross-validation details (33% Holdout set)
F measure
0.5812
Per class
Cross-validation details (33% Holdout set)
Kappa
0.0511
Cross-validation details (33% Holdout set)
KB relative information score
6.8359
Cross-validation details (33% Holdout set)
Mean absolute error
0.3888
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4357
Cross-validation details (33% Holdout set)
Number of instances
94
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.5842
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6383
Cross-validation details (33% Holdout set)
Prior entropy
0.8796
Cross-validation details (33% Holdout set)
Recall
0.6383
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8924
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4757
Cross-validation details (33% Holdout set)
Root mean squared error
0.5059
Cross-validation details (33% Holdout set)
Root relative squared error
1.0634
Cross-validation details (33% Holdout set)
SciMark benchmark
1313.8988
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)