Tātai whakatauira arorau

Tātai Whakamuri Whakatakotoranga

Ko te whakatauira arorau tētahi o ngā tikanga rongonui i roto i ngā tatauranga me te pūtaiao raraunga mō te whakatauira i te whanaungatanga i waenga i te maha o ngā taurangi motuhake (ngā matapae) me te taurangi whakawhirinaki kāwai, inā koa ko te rua (hei tauira, āe/kāo, angitu/kore, mate/hauora). Kāore i rite ki te whakatauira rārangi, e whakaputa ana i ngā uara tonu, kua hangaia te whakatauira arorau hei whakatau tata i te tūponotanga o tētahi huihuinga, nō reira ko te hua whakamutunga kei roto i te awhe o te 0 ki te 1. I roto i tēnei tuhinga, ka matapakihia e mātou te tātai whakatauira arorau, te tikanga o ia wāhanga, me pēhea te whakamaori.

He aha i hiahiatia ai te Whakamuritanga Logistic?

Mena ka whakamahia e tātou te whakatauira rārangi hei matapae i ngā tūponotanga, ka taea e te tauira te whakaputa uara i raro i te 0, i runga ake rānei i te 1, he mea tino koretake tēnei mō te tūponotanga. Ka arohia tēnei raruraru e te whakatauira arorau mā te whakamahi i tētahi mahi kore-rārangi e mahere ana i te hua kua tatauhia (tērā pea he uara) ki tētahi uara tūponotanga i waenga i te 0 me te 1. Ko te mahi e whakamahia whānuitia ana ko te mahi arorau, te mahi sigmoid rānei.

Hei tauira, me kī tātou e hiahia ana ki te matapae mēnā ka huri te kiritaki i runga i tōna tau, te roa o te ohaurunga, me te auau o te whakamahinga. E rua noa ngā mea ka taea te puta i te putanga kua matapaetia: te huri (1) te kore rānei o te huri (0). He pai te whakatauira logistic mō tēnei momo āhuatanga.

Te Tātai Taketake mō te Whakamuritanga Rautaki

Ko te kaupapa matua o te whakatauira whakahāngaitanga ko te whakatauira i te tūponotanga \( p \) ka puta te kaupapa \( Y = 1 \)), i runga i te uara o te taurangi matapae \( X \).

Ko ngā tauira whakatauira logistic e tuhia ana i roto i ngā āhua nui e rua:

1) Puka Tūponotanga (Sigmoid)

\[
p = P(Y=1 \mid X) = \frac{1}{1 + e^{-z}}
\]

dengan

\[
z = \beta_0 + \beta_1 X_1 + \beta_2 X_2 + \cdots + \beta_k X_k
\]

Ngā Mōhiohio:
– Ko te tūponotanga o te takahanga ko \( p \) (hei tauira: churn = 1).
– Ko te tau a Euler ko \( e \) (tata ki te 2,71828).
– Ko te \( z \) he huinga rārangi o ngā matapae.
– Ko \( \beta_0 \) te pūmau (taurangi).
– Ko \( \beta_1, \beta_2, \ldots, \beta_k \) ngā taunga whakatauira.
– He taurangi motuhake a \( X_1, X_2, \ldots, X_k \).

PATANGA  He kupu whakataki ki ngā tohatoha tauira

Mā te mahi sigmoid ka noho tonu te uara o \( z \) i waenga i te 0 me te 1 ahakoa te uara o \( p \).

2) Puka Takiuru (Ngā Tūponotanga Takiuru)

Ko tētahi atu āhua tino hira ko te āhua logit, arā, ko te logarithm o ngā tūponotanga:

\[
\text{logit}(p) = \ln\left(\frac{p}{1-p}\right) = \beta_0 + \beta_1 X_1 + \beta_2 X_2 + \cdots + \beta_k X_k
\]

Ngā Mōhiohio:
– Ko te \( \frac{p}{1-p} \) e kiia ana ko ngā tūponotanga (te tūponotanga whanaunga).
– Ko te logarithm tūturu te \( \ln \).

E whakamārama ana te puka logit ko te whakatauira o te whakatauira logistic i ngā tūponotanga log hei mahi rārangi o ngā matapae. Mā tēnei ka mārama ake te whakamārama i ngā tauwehenga, inā koa i roto i te horopaki o ngā ōwehenga tūponotanga.

Te Mārama ki ngā Tūponotanga me ngā Tauwehenga Tūponotanga

Hei tino mārama ki te tātai whakatauira logistic, me wehewehe tātou i waenga i te tūponotanga me te ōritetanga.

– Tūponotanga \( p \): te tūponotanga o te puta o tētahi kaupapa (0 ki te 1).
– Ngā Tūponotanga: te whakataurite i te tūponotanga o tētahi mea ka tupu me te kore e tupu:

\[
\text{taurangi} = \frac{p}{1-p}
\]

Tauira: mēnā ko \( p = 0{,}8 \), kātahi:

\[
\text{taurangi} = \frac{0{,}8}{0{,}2} = 4
\]

Ko te tikanga tēnei, e whā ngā wā ka nui ake te tūponotanga o te tupu o tēnei huihuinga i tō te korenga.

I roto i te whakatauira logistic, ka whakamāramahia te tauwehenga \( \beta \) mā te ōwehenga tūponotanga:

\[
\text{OR} = e^{\beta}
\]

– Mēnā ko \( \beta > 0 \), kāti ko \( e^{\beta} > 1 \): ka whakanuia e te matapae te tūponotanga o te kaupapa.
– Mena \( \beta < 0 \), kātahi \( e^{\beta} < 1 \): ka whakaitihia e te matapae te tūponotanga o te kaupapa. - Mena \( \beta = 0 \), kātahi \( e^{\beta} = 1 \): kāore he pānga ki ngā tūponotanga. Hei tauira, mena \( \beta_1 = 0{,}7 \), kātahi: \[ e^{0{,}7} \approx 2{,}01 \] Ko te tikanga o tēnei ko ia pikinga 1 waeine i roto i te \( X_1 \) ka whakareatia te tūponotanga o te kaupapa mā te 2,01 ngā wā pea (me te whakaaro kei te noho pūmau tonu ētahi atu taurangi). Tauira o te Tauira Whakamuri Rautaki Māmā Me kī kotahi noa te taurangi matapae \( X \), hei tauira ko te maha o ngā hāora ako ia wiki, hei matapae i te angitu i tētahi whakamātautau (paahi = 1, rahua = 0). Ko te tauira:

PATANGA  Ngā kaupapa matua o te whakamātautau whakapae
\[ \text{logit}(p) = \beta_0 + \beta_1 X \] Mena ko te hua i whakatauhia ko: - \( \beta_0 = -4 \) - \( \beta_1 = 0{,}8 \) Kātahi: \[ z = -4 + 0{,}8X \] \[ p = \frac{1}{1 + e^{-(-4 + 0{,}8X)}} = \frac{1}{1 + e^{4 - 0{,}8X}} \] Mena \( X = 6 \) hāora ako: \[ z = -4 + 0{,}8(6) = 0{,}8 \] \[ p = \frac{1}{1 + e^{-0{,}8}} \approx 0{,}69 \] Whakamārama: me te 6 hāora ako i ia wiki, i paahitia te tūponotanga me te kaute tata ki te 69%. Te Whakatau Taurite: He aha e kore ai e whakamahia te Tikanga Tapawhā Iti rawa? I roto i te whakatautautanga rārangi, ka tatauhia ngā taurite mā te whakamahi i te tikanga tapawhā iti rawa. Heoi, i roto i te whakatautautanga logistic, he kore-rārangi te whanaungatanga i waenga i ngā matapae me ngā tūponotanga, nō reira kāore te huarahi tapawhā iti rawa i te pai. Ko te whakatautautanga logistic te tikanga e whakamahi ana i te Whakatau Taurite Mōrahi (MLE) hei kimi i te uara taurite \( \beta \) e whakanui ana i te tūponotanga o ngā raraunga kua kitea. Hei whakarāpopototanga, ko te tūponotanga mō ngā kitenga rua \( y_i \in \{0,1\} \) me ngā matapae \( p_i \) ko: \[ L(\beta) = \prod_{i=1}^{n} p_i^{y_i}(1-p_i)^{(1-y_i)} \] Kātahi ka hurihia ki te tūponotanga-raupapa kia māmā ake ai te tatau: \[ \ell(\beta) = \sum_{i=1}^{n} \left[ y_i \ln(p_i) + (1-y_i)\ln(1-p_i) \right] \] Ka whiriwhiria te uara o \( \beta \) hei whakanui ake \( \ell(\beta) \). Ko ngā tikanga tau pēnei i te Newton-Raphson, te hekenga gradient rānei, he maha ngā wā ka whakamahia e ngā pūmanawa tatauranga. Ngā Painga me ngā Herenga o te Whakamuritanga Rautaki Ngā Painga 1. Kei roto i te āhua o ngā tūponotanga ngā hua, kia ngāwari ai te whakamāori ki ngā whakatau. 2. He mārama te whakamāramatanga o ngā tauwehenga mā te ōwehenga tūponotanga. 3. He pai mō ngā raruraru whakarōpūtanga rua, ā, ka taea te whakawhānui ake ki te maha-nomial/ordinal. Ngā Herenga 1. E whakaaro ana he whanaungatanga rārangi i waenga i ngā matapae me ngā tūponotanga takiuru, ehara i te mea tika ki ngā tūponotanga. 2. Ka raru pea mēnā he maha-whakapiripiri, he raraunga tino kore taurite rānei. 3. Mō ngā tauira whanaungatanga tino uaua, he pai ake pea ētahi atu tikanga kore-rārangi (hei tauira, te ngahere matapōkere, te whatunga io rānei).
PATANGA  Tātaritanga hononga ā-pūtake
Whakamutunga Ko te tātai whakatauira arorau he whakakotahitanga raina o ngā taurangi matapae me te mahi sigmoid hei whakaputa tūponotanga. Ko te āhua tino noa ko: \[ p = \frac{1}{1 + e^{-(\beta_0 + \beta_1 X_1 + \cdots + \beta_k X_k)}} \] i roto rānei i te āhua logit: \[ \ln\left(\frac{p}{1-p}\right) = \beta_0 + \beta_1 X_1 + \cdots + \beta_k X_k \] Mā te mārama ki ēnei āhua e rua o te tātai, ka taea e tātou te hanga tauira matapae mō ngā raruraru whakarōpūtanga rua me te whakamārama i te awe o ngā taurangi mā te ōwehenga tūponotanga \( e^{\beta} \). He tūāpapa nui tonu te whakatauira arorau i roto i te tātari raraunga nā te mea he māmā, he kaha, he whakamārama hoki—ā, koinei te taahiraa tuatahi i mua i te whakamātau i ngā tauira uaua ake. Ki te hiahia koe, ka taea e au te tāpiri i tētahi tauira tātaitanga me ngā raraunga iti (tīpā), i tētahi tauira whakatinanatanga rānei o te logistic regression i roto i te Python/R me te whakamāramatanga o te putanga.

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