LOGISTICRE-GRESS.co N DALPIAZ 10/2/2019
↳ SO - tutto " Distr CLASSIFIER FAR ESTIMATED - - - > , y y TIX OF Die ( x ) ( ( x ) CREATE USING " near " x - K - Yi of Proportion × ] [ Y K / X = = Pk ( x ) = = ( NEIGHBORS ) ↳ KNN ( NEIGHBORHOODS ) TREES - - PARAM TMC NON MODELS Now . - . For METHOD PARAMETRIC A CLASSIFICATION BINARY
CLASSIFICATION ⑦ / NARY T.fi : DEFINEOUR - If = P[ x l X p( x ) l - - - Focus → P ( Y x ) - o Ix - p ( x ) - - - I - -
LOGISTIC REGRESSION - ) + Bpxp + Bexz Bot B. x , log t = - - - - - # o ! . FEATURES OF COMBINATION UN2 + Bp + Bix , t = t Bo - - - . @ - pCy=ilx=7 ffx.rs )
LOGISTIC REGRESSION B 'S X 'S AND of function BERN ( p # - XIX - REGRESSION LINEAR CTLDINARY ( CMPARE To - r ) N ( B. + B. x. t → Bpxp Y ) - - - , X n - / PARAMETER EXTRA
DEFINE - = 1¥ - ' (3) log ( ¥ ) r (3) legit (3) logit = = = → R logit co . . ] : - Bp xp M ( x ) [ o . D IR Bo + B. : → x , t r = - - - log (,P! × ¥ ) t Bp xp t Bex z Bot B. x , t = - - - - - 7 ( x ) logit ( elx ) ) = . ,e÷÷.=÷÷:÷÷÷÷ " " run
⇒ ⇒ ) Examine 4 + 2x 2x . log - = , pfx ) - 0.5 761=0 Note - - 2x . 4 + 2x . C) = " ° (f) 2 Xr + x x , = , f n / 7 - 0.5 p Cx ) ) - 2. xie ) : - ( x. = " " DECISION BOUNDARY pa.z.xi.os-i.ee#..o--o.aaa6 ↳ ( x ,=z , - o ) xa - = Ite I / P( x. - 2. x. =L ) 0.01799 = c. ( x ) = I - - ✓
) log ( FTTINGLOGlsiictc.DE# Bot B. x = O t l : p ( x ;) Xi Yi ' SEQUENCE , - ( - p ( x . ) ) p ( x . ) op ( x . ) - - - l : t PROBABILITY Z f) 3 I " ' i CONDITIONAL.LI/SELlHoo# I 3 = .¥P[ Yi I 5 . B.) L( B . - silk ° / } - 4 - . O 5 BE ' o • MAXIMIZE / 0 7 O 6
= !÷P[ Yi " ' ' ' - L ( B . - axis ) fi : ) . B.) pix - si Ix :-. = - . t € - p Cx :)) - yi ) log ( , ( l - log ( p Gi ) ) . ) log L ( Bo , B I = y . . ÷÷ - - O CLASS t !?y .IE : log log ( l - plxi ) ) = = E. log ft - E÷÷ :) - axis sits . . " " ' " ) - !§ log ( y :( Botox :) I + = + e
" " " ) - , € log ( Ite y :( Botox :) . ) log L ( Bo , B = + .is:7 ÷÷÷:÷:÷:÷÷÷÷÷÷:÷÷÷ . " :¥÷÷÷÷ ÷÷÷÷÷÷÷÷÷÷÷÷÷l SOLUTION NO FORM CLOSED * . ' "
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