Run
264439

Run 264439

Task 3854 (Supervised Classification) car 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
0.7787
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5987
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1035.0892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1568
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4199
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.8405
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8432
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.8432
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3735
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.396
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8644
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.6051
UserCPU time millis
640
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
640
Cross-validation details (10-fold Crossvalidation)