Given a confusion matrix for chronic kidney disease prediction based on health data of $2044$ patients using Na$$ve Bayes Algorithm. The columns show the number of people who have or doesn$$t have a chronic kidney disease while rows show the predictions made by the model. The patients who are tested positive through the algorithm will be treated by making further tests and corresponding medication.

CKD represents having chronic kidney disease and No CKD the opposite.

TP $=$ True Positives

TN $=$ True Negatives

FP $=$ False Positives

FN $=$ False Negatives

Confusion Matrix

No CKD

CKD

No CKD

$432$

$331$

CKD

$289$

$992$

Which of the following is false?

Group of answer choices

TP $<$ TN $+$ FP $+$ FN

None of the given options

FP $+$ FN $>$ TN

TN $>$ FP

FN $<300$