Polycystic Ovary Syndrome Analysis Using Machine Learning Algorithms

Polycystic ovary syndrome or PCOS is a hormone                     

A common disease among women of  reproductive age. This

once diagnosed, it cannot be cured. Help to avoid its effects.

The exact  cause  of  PCOS  is still  unknown. But  there are

some factors  that  illustrate  the possibility  of  PCOS. The

factors that cause  this  syndrome are :  obesity and insulin,

immunity ,  blood  pressure  ,  depression   ,   inflammation.

Symptoms include : hirsutism, oligo-ovulation, acne, heavy

bleeding, darkening of the skin. Causes and uses a model is

developed to accept the symptoms and their characteristics.

Machine Learning  models used for supervised classification

are K-Nearest Neighbor and logistic regression. The  reason

multiple models were built behind the scenes to identify the best one for   a given   dataset , the  known  extent  of  knowledge