Run
225919

Run 225919

Task 269 (Supervised Classification) sonar Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.7254
Per class
Cross-validation details (33% Holdout set)
F measure
0.731
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4579
Cross-validation details (33% Holdout set)
KB relative information score
31.6264
Cross-validation details (33% Holdout set)
Mean absolute error
0.2647
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4971
Cross-validation details (33% Holdout set)
Number of instances
68
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
0.7387
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7353
Cross-validation details (33% Holdout set)
Prior entropy
0.9968
Cross-validation details (33% Holdout set)
Recall
0.7353
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5325
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4982
Cross-validation details (33% Holdout set)
Root mean squared error
0.5145
Cross-validation details (33% Holdout set)
Root relative squared error
1.0328
Cross-validation details (33% Holdout set)
SciMark benchmark
929.0363
UserCPU time millis
60
Cross-validation details (33% Holdout set)
UserCPU time millis testing
60
Cross-validation details (33% Holdout set)