Run
386985

Run 386985

Task 289 (Supervised Classification) iris Uploaded 05-04-2015 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
0.8912
Per class
Cross-validation details (33% Holdout set)
F measure
0.8584
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7852
Cross-validation details (33% Holdout set)
KB relative information score
35.6536
Cross-validation details (33% Holdout set)
Mean absolute error
0.143
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8626
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8571
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.8571
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3218
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.3019
Cross-validation details (33% Holdout set)
Root relative squared error
0.6405
Cross-validation details (33% Holdout set)
SciMark benchmark
946.9304
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)