داستان آبیدیک

training dataset


فارسی

1 برق و الکترونیک:: مجموعه داده آموزشی

Predictions of the OK, ANN and PR on training dataset with 10% of missing values. In batch mode learning, all the samples in training dataset are available, and they are executed for model learning at once. For applying SVM two issues must be considered; selecting kernel function and finding its best parameters, and selecting optimal features of training dataset [38]. The information quality enhancements is aimed at improving the training datasets of data driven FDD. Percentage of missing values, with MCAR standard, in training datasets are changed, including 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% and 90% of the total number of samples.

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