Run
225931

Run 225931

Task 287 (Supervised Classification) ionosphere 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
0.8718
Per class
Cross-validation details (33% Holdout set)
F measure
0.9093
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7931
Cross-validation details (33% Holdout set)
KB relative information score
90.4314
Cross-validation details (33% Holdout set)
Mean absolute error
0.087
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
0.9232
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.913
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.913
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1912
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2949
Cross-validation details (33% Holdout set)
Root relative squared error
0.6223
Cross-validation details (33% Holdout set)
SciMark benchmark
918.0213
UserCPU time millis
330
Cross-validation details (33% Holdout set)
UserCPU time millis testing
330
Cross-validation details (33% Holdout set)