Run
441367

Run 441367

Task 3062 (Supervised Classification) white-clover Uploaded 16-05-2015 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
0.5643
Per class
Cross-validation details (33% Holdout set)
F measure
0.4649
Per class
Cross-validation details (33% Holdout set)
Kappa
-0.0526
Cross-validation details (33% Holdout set)
KB relative information score
-0.2029
Cross-validation details (33% Holdout set)
Mean absolute error
0.2877
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2619
Cross-validation details (33% Holdout set)
Number of instances
20
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
0.4886
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.45
Cross-validation details (33% Holdout set)
Prior entropy
1.4097
Cross-validation details (33% Holdout set)
Recall
0.45
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0982
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3505
Cross-validation details (33% Holdout set)
Root mean squared error
0.467
Cross-validation details (33% Holdout set)
Root relative squared error
1.3327
Cross-validation details (33% Holdout set)
SciMark benchmark
935.5664
UserCPU time millis
270
Cross-validation details (33% Holdout set)
UserCPU time millis training
270
Cross-validation details (33% Holdout set)