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Logistic Regression 6
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glm.fit <- glm(Direction ~ Lag1 + Lag2 + Lag3 + Lag4 + Lag5 + Volume,
data = Smarket, family = binomial)
glm.probs <- predict(glm.fit, type = "response")
glm.pred <- rep('Down', 1250)
glm.pred[glm.probs > 0.6] <- 'Up'
table(..., ...)
mean(... == ...)
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