Run
337123

Run 337123

Task 1773 (Supervised Classification) autos 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
0.8413
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.6089
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.4964
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
520.0132
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.128
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1025
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6083
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.6107
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.6107
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.5792
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2837
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8552
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1253.0071
UserCPU time millis
130
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
130
Cross-validation details (5 times 2-fold Crossvalidation)