Run
399967

Run 399967

Task 4427 (Supervised Classification) hungarian Uploaded 16-04-2015 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
0.8864
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8086
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5815
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1450.7184
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2375
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4614
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2940
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8082
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8105
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9439
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8105
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5148
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4802
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3621
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.754
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
845.538
UserCPU time millis
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10 times 10-fold Crossvalidation)