Run
102699

Run 102699

Task 1786 (Supervised Classification) mfeat-zernike 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
0.8855
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0005
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
542644684.8
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7946
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.771
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
7814.7489
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0426
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7962
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7939
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7939
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2366
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.202
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.6735
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
945.4085