Run
451589

Run 451589

Task 3062 (Supervised Classification) white-clover Uploaded 21-05-2015 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
0.6
Per class
Cross-validation details (33% Holdout set)
F measure
0.6014
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2135
Cross-validation details (33% Holdout set)
KB relative information score
5.3668
Cross-validation details (33% Holdout set)
Mean absolute error
0.1923
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2619
Cross-validation details (33% Holdout set)
Number of instances
20
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6219
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.65
Cross-validation details (33% Holdout set)
Prior entropy
1.4097
Cross-validation details (33% Holdout set)
Recall
0.65
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7342
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3505
Cross-validation details (33% Holdout set)
Root mean squared error
0.3953
Cross-validation details (33% Holdout set)
Root relative squared error
1.1279
Cross-validation details (33% Holdout set)
SciMark benchmark
906.5979
UserCPU time millis
40
Cross-validation details (33% Holdout set)
UserCPU time millis training
40
Cross-validation details (33% Holdout set)