文本迴歸預測

regression model

Text regression using tm and glmnet

簡單線型迴歸

線性迴歸 with R

# Load Train and Test datasets
# Identify feature and response variable(s);values must be numeric

x_train <- input_variables_values_training_datasets 
y_train <- target_variables_values_training_datasets 
x_test <- input_variables_values_test_datasets
x <- cbind(x_train, y_train)

# Train the model using the training sets and check score
linear <- lm(y_train ~ ., data = x)
summary(linear)
# Predict Output
predicted <- predict(linear,x_test)

Logistic 迴歸 with R

# Train the model using the training sets and check score
logistic <- glm(y_train ~ ., data = x,family = 'binomial')
summary(logistic)
# Predict Output
predicted <- predict(logistic, x_test)

多元（複）迴歸模型

• 多了許多預測變數