Run
219036

Run 219036

Task 2068 (Supervised Classification) solar-flare Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.Id3(3)R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.

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
0.4967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.004
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-620.4396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0069
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, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9906
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.081
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4516
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1321.6263
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)