Run
578845

Run 578845

Task 2068 (Supervised Classification) solar-flare Uploaded 04-06-2016 by Jan van Rijn
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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
0.9321
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.993
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-858.3096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0042
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10-fold Crossvalidation)
Number of instances
1066
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
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9953
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5643
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.056
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0029
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1261.5226
UserCPU time millis
270
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
250
Cross-validation details (10-fold Crossvalidation)