[Vu Van Tu]

Dear Prof. Yaser,

Can you explain more about variance, the simple idea and example of this?
I read this paragraph but I still cannot fully understand.

'One can also view the variance as a measure of 'instability' in the learning model. Instability manifests in wild reactions to small variations or idiosyn*- crasies in the data, resulting in vastly different hypotheses.'
page 64

how does "small variations or idiosyn*-crasies in the data" effect our final hypothesis (variance of linear model vs constant model for example)?

Thank you very much!