Run
203228

Run 203228

Task 4438 (Supervised Classification) fri_c2_500_10 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)_K5
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
0.7891
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7354
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4585
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1662.0173
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.335
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4897
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
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
0.7351
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.736
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9851
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.736
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6841
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4948
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4353
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8798
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
889.3151
UserCPU time millis
60
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10