Run
341096

Run 341096

Task 2117 (Supervised Classification) adult Uploaded 27-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.8965
Per class
Cross-validation details (33% Holdout set)
F measure
0.8463
Per class
Cross-validation details (33% Holdout set)
Kappa
0.572
Cross-validation details (33% Holdout set)
KB relative information score
7862.8262
Cross-validation details (33% Holdout set)
Mean absolute error
0.1744
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3658
Cross-validation details (33% Holdout set)
Number of instances
16117
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8448
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8503
Cross-validation details (33% Holdout set)
Prior entropy
0.7939
Cross-validation details (33% Holdout set)
Recall
0.8503
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4768
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4287
Cross-validation details (33% Holdout set)
Root mean squared error
0.3352
Cross-validation details (33% Holdout set)
Root relative squared error
0.782
Cross-validation details (33% Holdout set)
SciMark benchmark
1311.5017
UserCPU time millis
27560
Cross-validation details (33% Holdout set)
UserCPU time millis testing
510
Cross-validation details (33% Holdout set)
UserCPU time millis training
27050
Cross-validation details (33% Holdout set)