Run
264259

Run 264259

Task 3497 (Supervised Classification) grub-damage Uploaded 05-03-2015 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
0.5526
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3474
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.105
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.6376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3258
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3638
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3469
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3484
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9281
Cross-validation details (10-fold Crossvalidation)
Recall
0.3484
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4263
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5708
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3389
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
909.1698
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)