Run
322953

Run 322953

Task 3061 (Supervised Classification) squash-unstored Uploaded 26-03-2015 by Jan van Rijn
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
0.7807
Per class
Cross-validation details (33% Holdout set)
F measure
0.5938
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3352
Cross-validation details (33% Holdout set)
KB relative information score
6.9222
Cross-validation details (33% Holdout set)
Mean absolute error
0.2974
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4064
Cross-validation details (33% Holdout set)
Number of instances
17
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6218
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5882
Cross-validation details (33% Holdout set)
Prior entropy
1.3486
Cross-validation details (33% Holdout set)
Recall
0.5882
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7317
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4621
Cross-validation details (33% Holdout set)
Root mean squared error
0.4314
Cross-validation details (33% Holdout set)
Root relative squared error
0.9335
Cross-validation details (33% Holdout set)
SciMark benchmark
1354.3488
UserCPU time millis
80
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
70
Cross-validation details (33% Holdout set)