OpenML
458274

Run 458274

Task 243 (Supervised Classification) breast-cancer Uploaded 02-07-2015 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
0.5784
Per class
Cross-validation details (33% Holdout set)
F measure
0.6125
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1142
Cross-validation details (33% Holdout set)
KB relative information score
13.9068
Cross-validation details (33% Holdout set)
Mean absolute error
0.3582
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4357
Cross-validation details (33% Holdout set)
Number of instances
94
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
0.6078
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6383
Cross-validation details (33% Holdout set)
Prior entropy
0.8796
Cross-validation details (33% Holdout set)
Recall
0.6383
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.822
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4757
Cross-validation details (33% Holdout set)
Root mean squared error
0.5183
Cross-validation details (33% Holdout set)
Root relative squared error
1.0897
Cross-validation details (33% Holdout set)
SciMark benchmark
943.1009
UserCPU time millis
370
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
360
Cross-validation details (33% Holdout set)