Run
187063

Run 187063

Task 3053 (Supervised Classification) monks-problems-1 Uploaded 25-02-2015 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
1
Per class
Cross-validation details (33% Holdout set)
F measure
1
Per class
Cross-validation details (33% Holdout set)
Kappa
1
Cross-validation details (33% Holdout set)
KB relative information score
155.3798
Cross-validation details (33% Holdout set)
Mean absolute error
0.0972
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.5
Cross-validation details (33% Holdout set)
Number of instances
183
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
1
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
1
Cross-validation details (33% Holdout set)
Prior entropy
1
Cross-validation details (33% Holdout set)
Recall
1
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1943
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5
Cross-validation details (33% Holdout set)
Root mean squared error
0.1154
Cross-validation details (33% Holdout set)
Root relative squared error
0.2308
Cross-validation details (33% Holdout set)
SciMark benchmark
1315.3881
UserCPU time millis
30
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)