Run
578849

Run 578849

Task 2073 (Supervised Classification) yeast Uploaded 04-06-2016 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(6)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
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5587
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.438
Cross-validation details (10-fold Crossvalidation)
KB relative information score
638.8752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1112
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.5564
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5681
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5681
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7152
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8547
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1298.1855
UserCPU time millis
470
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
330
Cross-validation details (10-fold Crossvalidation)