Run
9190103

Run 9190103

Task 167213 (Supervised Classification) gisette Uploaded 18-04-2018 by Tom van Meer
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Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
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Flow

weka.FilteredClassifier(2)Weka implementation of FilteredClassifier
weka.FilteredClassifier(2)_Fweka.filters.unsupervised.attribute.Remove -V -R 140,289,292,366,380,456,468,496,512,515,558,569,580,720,757,797,856,905,1031,1050,1151,1272,1278,1301,1329,1370,1425,1505,1523,1533,1607,1657,1814,1996,2010,2223,2354,2489,2663,2741,2743,2785,3062,3063,3123,3198,3249,3252,3257,3328,3361,3469,3544,3643,3657,3720,3722,3828,3888,3966,3976,4110,4159,4165,4188,4196,4272,4291,4425,4504,4508,4554,4568,4586,4622,4653,4656,4691,4917,5001
weka.FilteredClassifier(2)_S1
weka.FilteredClassifier(2)_Wweka.classifiers.meta.MultiSearch

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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

0 Evaluation measures