Run
102752

Run 102752

Task 2125 (Supervised Classification) eucalyptus Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.6508
Per class
Cross-validation details (33% Holdout set)
Build memory
862734936
Cross-validation details (33% Holdout set)
F measure
0.4551
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2986
Cross-validation details (33% Holdout set)
KB relative information score
85.2977
Cross-validation details (33% Holdout set)
Mean absolute error
0.2208
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3134
Cross-validation details (33% Holdout set)
Number of instances
242
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
0.4686
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4504
Cross-validation details (33% Holdout set)
Prior entropy
2.2629
Cross-validation details (33% Holdout set)
Recall
0.4504
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7047
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3959
Cross-validation details (33% Holdout set)
Root mean squared error
0.4665
Cross-validation details (33% Holdout set)
Root relative squared error
1.1784
Cross-validation details (33% Holdout set)
SciMark benchmark
936.8525