Run
337257

Run 337257

Task 2122 (Supervised Classification) kropt Uploaded 27-03-2015 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
0.7778
Per class
Cross-validation details (33% Holdout set)
F measure
0.263
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2118
Cross-validation details (33% Holdout set)
KB relative information score
2260.5339
Cross-validation details (33% Holdout set)
Mean absolute error
0.0908
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0995
Cross-validation details (33% Holdout set)
Number of instances
9258
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.2834
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.3139
Cross-validation details (33% Holdout set)
Prior entropy
3.5053
Cross-validation details (33% Holdout set)
Recall
0.3139
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9125
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2231
Cross-validation details (33% Holdout set)
Root mean squared error
0.2117
Cross-validation details (33% Holdout set)
Root relative squared error
0.9487
Cross-validation details (33% Holdout set)
SciMark benchmark
1253.0071
UserCPU time millis
44940
Cross-validation details (33% Holdout set)
UserCPU time millis testing
80
Cross-validation details (33% Holdout set)
UserCPU time millis training
44860
Cross-validation details (33% Holdout set)