Run
580759

Run 580759

Task 2068 (Supervised Classification) solar-flare Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_RandomTree(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_Wweka.classifiers.trees.RandomTree

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
0.6955
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-127.6973
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0039
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
0.9944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5259
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0609
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0916
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1306.7097
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)