OpenML
320981

Run 320981

Task 4442 (Supervised Classification) fri_c3_250_50 Uploaded 25-03-2015 by Joaquin Vanschoren
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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
0.8453
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7961
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5849
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1313.6888
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2385
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4908
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7963
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.796
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9868
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.796
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4858
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4954
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4115
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8306
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1297.2338
UserCPU time millis
190
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10 times 10-fold Crossvalidation)