Run
103137

Run 103137

Task 3886 (Supervised Classification) soybean Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9548
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0004
Cross-validation details (10-fold Crossvalidation)
Build memory
197842221.4934
Cross-validation details (10-fold Crossvalidation)
F measure
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8618
Cross-validation details (10-fold Crossvalidation)
KB relative information score
555.3986
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.034
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2339
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
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
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9678
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.573
Cross-validation details (10-fold Crossvalidation)
Recall
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1453
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3414
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.16
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4685
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.8525