How to explain the binary2multiclass
Hello good day! I am using a polynominal by binomial operator inside of it is the logistic regression now the result of the model is like this and I really dont know how to interpret or just explain the result:
I believe I don't need to upload the dataset. I know that Positive coefficient make the event more likely and negative coefficients make the event less likely. I am by the way using a multiclass here, there are 3 values in my independent variable Low Mastery, Very Low Mastery and Average Mastery which doesn't make it as binary value ,I really don't how to explain the 3 versus which is above my model. Does this mean there are 3 models?. The attribute there corresponds to the subject and the three values, Low Mastery, Very Low Mastery and Average Mastery are values of their National Achievement Test. What does these 3 events (Low Mastery vs. Very Low Mastery, Low Mastery vs. Average Mastery, Very Low Mastery vs. Average Mastery ) mean? . How does these 3 related to my model?
I believe I don't need to upload the dataset. I know that Positive coefficient make the event more likely and negative coefficients make the event less likely. I am by the way using a multiclass here, there are 3 values in my independent variable Low Mastery, Very Low Mastery and Average Mastery which doesn't make it as binary value ,I really don't how to explain the 3 versus which is above my model. Does this mean there are 3 models?. The attribute there corresponds to the subject and the three values, Low Mastery, Very Low Mastery and Average Mastery are values of their National Achievement Test. What does these 3 events (Low Mastery vs. Very Low Mastery, Low Mastery vs. Average Mastery, Very Low Mastery vs. Average Mastery ) mean? . How does these 3 related to my model?