Run
441166

Run 441166

Task 1799 (Supervised Classification) dermatology Uploaded 16-05-2015 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
0.9872
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9388
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9228
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1690.3798
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0221
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9399
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9383
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9383
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.083
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1346
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.3688
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1051.249
UserCPU time millis
2750
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
2700
Cross-validation details (5 times 2-fold Crossvalidation)