Run
451389

Run 451389

Task 289 (Supervised Classification) iris Uploaded 20-05-2015 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
0.9866
Per class
Cross-validation details (33% Holdout set)
F measure
0.9184
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8772
Cross-validation details (33% Holdout set)
KB relative information score
42.2239
Cross-validation details (33% Holdout set)
Mean absolute error
0.0695
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
49
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
0.9184
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9184
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.9184
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1563
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.2356
Cross-validation details (33% Holdout set)
Root relative squared error
0.4998
Cross-validation details (33% Holdout set)
SciMark benchmark
936.2574
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)