Run
201012

Run 201012

Task 1939 (Supervised Classification) iris Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K3
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.9789
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1386.1737
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0388
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9534
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0874
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1626
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.345
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
882.7843
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)