Question

In: Computer Science

I have dataset to predict how pass or fail based on score column. If the grade...

I have dataset to predict how pass or fail based on score column. If the grade is higher than 90 we predict it pass if it below we predict it fall. the class column is the actual result so based on our prediction we got 10 correct answer out of 14. I want to do this I RStudio. To show how many corrected result we got based on the class.

Score Our_prediction class
77.29597 Fail Fail
77.20041 Fail Fail
76.67481 Fail Fail
76.60455 Fail Pass
76.2072 Fail Fail
76.2072 Fail Fail
76.15788 Fail Pass
76.07912 Fail Fail
76.04913 Fail Pass
75.45997 Fail Pass
98.42474 Pass Pass
98.27169 Pass Pass
97.90262 Pass Pass
97.5566 Pass Pass

Solutions

Expert Solution

ANSWER:

  • I have provided the properly commented code in both text and image format so you can easily copy the code as well as check for correct indentation.
  • I have provided the output image of the code so you can easily cross-check for the correct output of the code.
  • Have a nice and healthy day!!

CODE TEXT

# creating score and class data using dataframe
# with score and respective class list
# storing dataframe in data
data <- data.frame(Score=c(77.29597,77.20041,76.67481,76.60455       ,76.2072,76.2072,76.15788       ,76.07912,
                   76.04913,75.45997,98.42474,98.27169,97.90262,97.5566),
           class=c("Fail","Fail","Fail","Pass","Fail","Fail","Pass","Fail","Pass","Pass","Pass",
                   "Pass","Pass","Pass"))

# displaying data
print("Data:")
data

# creating prediction function, to predict pass if Score > 90
predict <- function (X){
  # if X>90 return Pass
  if(X>90){
    "Pass"
  } # else fail
  else
    "Fail"
}

# using function lapply to apply predict function on each Score of data and storing result in Our_prediction
# col of dataframe
data$Our_prediction <- lapply(data$Score, predict)
# displaying prediction data
print("Predicted data in Our_prediction col:")
data

# comparing prediction with actual and displaying result
# comparision will give boolean vector with true where prediction matches, using sum function to fetch
# to correct predictions
correct_pred <- sum(data$Our_prediction == data$class)

# displaying result
cat("Out of",length(data$Our_prediction),", we got",correct_pred,"correct answer.")

CODE IMAGE

OUTPUT IMAGE


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