Run
352357

Run 352357

Task 283 (Supervised Classification) vehicle Uploaded 28-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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
0.8917
Per class
Cross-validation details (33% Holdout set)
F measure
0.6707
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5593
Cross-validation details (33% Holdout set)
KB relative information score
166.1495
Cross-validation details (33% Holdout set)
Mean absolute error
0.1781
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3748
Cross-validation details (33% Holdout set)
Number of instances
279
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6721
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6703
Cross-validation details (33% Holdout set)
Prior entropy
1.9991
Cross-validation details (33% Holdout set)
Recall
0.6703
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4752
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4328
Cross-validation details (33% Holdout set)
Root mean squared error
0.3258
Cross-validation details (33% Holdout set)
Root relative squared error
0.7526
Cross-validation details (33% Holdout set)
SciMark benchmark
1324.7884
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)