Run
264763

Run 264763

Task 4523 (Supervised Classification) tae Uploaded 05-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.7307
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7574
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4622
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
664.3433
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2424
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4522
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1510
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
0.7572
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7576
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9308
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7576
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.536
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4752
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4923
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0361
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
923.6051
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)