previous semester grade is above 5, the drop out feature
seem to be high due to the responsibility of the student as a
first child (for male). Girl students face the problem of
getting married as a ‗first child‘ of the family. Based on tree
analysis, gender, parent education, scholarship, part time job
are the irrelevant factors. They should not be included in the
claim frequency model.
Based on tree analysis, logistic regression is used to estimate
the probability of drop out feature based on the factors under
consideration. Logistic regression attempts to predict the
probability of drop out feature as a function of one or more
independent inputs.
previous semester grade is above 5, the drop out featureseem to be high due to the responsibility of the student as afirst child (for male). Girl students face the problem ofgetting married as a ‗first child‘ of the family. Based on treeanalysis, gender, parent education, scholarship, part time jobare the irrelevant factors. They should not be included in theclaim frequency model.Based on tree analysis, logistic regression is used to estimatethe probability of drop out feature based on the factors underconsideration. Logistic regression attempts to predict theprobability of drop out feature as a function of one or moreindependent inputs.
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