Em aprendizagem de máquina, a função custo avalia os coeficientes no modelo, calculando uma previsão para ele em cada instância de treinamento no conjunto de dados, ou seja, realizando uma soma ponderada da função erro para todos os m exemplos do conjunto de treinamento e reduzindo o erro na predição, com o objetivo de otimizar os valores de w e b. Assinale a alternativa correta que define a fórmula da função custo: a. l left parenthesis w comma b right parenthesis equals negative 1 over m sum from i equals 1 to m of open square brackets y subscript i log open parentheses y with hat on top subscript i close parentheses plus left parenthesis 1 minus y subscript i right parenthesis log open parentheses 1 minus y with hat on top subscript i close parentheses close square brackets b. l left parenthesis w comma b right parenthesis equals 1 over m sum from i equals 1 to m of open square brackets y subscript i log open parentheses y with hat on top subscript i close parentheses asterisk times left parenthesis 1 minus y subscript i right parenthesis log open parentheses 1 minus y with hat on top subscript i close parentheses close square brackets c. l left parenthesis w comma b right parenthesis equals negative 1 over m sum from i equals 1 to m of open square brackets y subscript i log open parentheses y with hat on top subscript i close parentheses divided by left parenthesis 1 minus y subscript i right parenthesis log open parentheses 1 minus y with hat on top subscript i close parentheses close square brackets d. l left parenthesis w comma b right parenthesis equals negative 1 over m sum from i equals 1 to m of open square brackets y subscript i log open parentheses y with hat on top subscript i close parentheses asterisk times left parenthesis 1 minus y subscript i right parenthesis log open parentheses 1 minus y with hat on top subscript i close parentheses close square brackets e. l left parenthesis w comma b right parenthesis equals negative 1 over m sum from i equals 1 to m of open square brackets y subsc
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No campo da Matemática, existem diversas medidas e ferramentas que podem ser utilizadas para avaliar a capacidade de generalização de um modelo, o que representa fazer predições corretas utilizando um novo conjunto de dados. Dessas ferramentas, pode-se destacar: (a) acurácia; (b) taxa de erro; (c) matriz de confusão e; (d) Receiver Operating Characteristic (ROC) ou algoritmo por ordem de grandeza. Assinale a alternativa correta que demonstra a fórmula da taxa de erro. a. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis x subscript i equals f with hat on top left parenthesis y subscript i right parenthesis right parenthesis b. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis y subscript i not equal to f with hat on top left parenthesis x subscript i right parenthesis right parenthesis c. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis y subscript i equals f with hat on top left parenthesis x subscript i right parenthesis right parenthesis d. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 0 to n of I left parenthesis y subscript i not equal to f with hat on top left parenthesis x subscript i right parenthesis right parenthesis e. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis x subscript i not equal to f with hat on top left parenthesis y subscript i right parenthesis right parenthesis
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No campo da Matemática, existem diversas medidas e ferramentas que podem ser utilizadas para avaliar a capacidade de generalização de um modelo, o que representa fazer predições corretas utilizando um novo conjunto de dados. Dessas ferramentas, pode-se destacar: (a) acurácia; (b) taxa de erro; (c) matriz de confusão e; (d) Receiver Operating Characteristic (ROC) ou algoritmo por ordem de grandeza. Assinale a alternativa correta que demonstra a fórmula da taxa de erro. a. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis y subscript i equals f with hat on top left parenthesis x subscript i right parenthesis right parenthesis b. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis x subscript i equals f with hat on top left parenthesis y subscript i right parenthesis right parenthesis c. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis x subscript i not equal to f with hat on top left parenthesis y subscript i right parenthesis right parenthesis d. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 0 to n of I left parenthesis y subscript i not equal to f with hat on top left parenthesis x subscript i right parenthesis right parenthesis e. e r r left parenthesis f with hat on top right parenthesis equals 1 over n sum from i equals 1 to n of I left parenthesis y subscript i not equal to f with hat on top left parenthesis x subscript i right parenthesis right parenthesis
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