Run
287954

Run 287954

Task 287 (Supervised Classification) ionosphere Uploaded 14-03-2015 by Joaquin Vanschoren
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Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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
0.9551
Per class
Cross-validation details (33% Holdout set)
F measure
0.9294
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8408
Cross-validation details (33% Holdout set)
KB relative information score
80.5858
Cross-validation details (33% Holdout set)
Mean absolute error
0.1411
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
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
0.9311
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9304
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9304
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3102
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2418
Cross-validation details (33% Holdout set)
Root relative squared error
0.5102
Cross-validation details (33% Holdout set)
SciMark benchmark
942.9708
UserCPU time millis
80
Cross-validation details (33% Holdout set)
UserCPU time millis testing
Cross-validation details (33% Holdout set)
UserCPU time millis training
80
Cross-validation details (33% Holdout set)