Confusion matrix with the best performance for bee buzzing-sounds classification at genus-level using MFCC features (flight with SVM classifier, <i>MacF</i>1 = 60.20% and <i>Acc</i> = 64.15%).
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The numbers in the matrix correspond to correctly (diagonal elements, bold) and incorrectly (out-of-diagonal elements) recognized samples in the data set. The best parameters of this classification were C = 10, decision_function_shape = “ovo”, gamma = 0.01, kernel = “rbf”.
创建时间:
2021-09-16



