SVRdata

Description

243 sets of data were selected as samples for the process-composition-performance model of die casting aluminum alloy. The dataset was randomly divided into two groups: the first group of 200 samples was used for training, and the second group of 43 samples was used as a test set to verify accuracy. In the process of SVM training, small data sets are randomly divided and combined several times in order to more accurately evaluate the generalization performance of the model. Machine learning models predict yield strength and tensile strength with more than 96% accuracy using small data sets.

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