CLASSIFICATION

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Tamba sá Classification Importante?

Trata Dadus La Organiza: Ajuda kompriende testu, imajen, no audio liuhosi organizasaun.
Automatiza Desizaun: Substitui prosesu manual ho klasifikasaun lalais no automatiku.
Permite Predisaun: Ajuda halo previzaun rezultadu no deskobre padraun atu hadia estratéjia negósiu.

Classification iha AI

Classification mak tarefa ida iha AI/ML ne’ebé uza atu halo klasifikasaun dadus ba kategoria (klase) ne’ebé mak define ona. Sistema aprende padraun husi dadus ne’ebé iha label (labeled data), no depois bele hatudu label ba dadus foun. Ezemplu: identifika email hanesan spam ka lae spam, ka identifika imajen hanesan bibi, asu, no seluk. Classification importante tebes ba analiza predisaun, filtru spam, no rekognisaun imajen. Ne’e mak parte importante husi supervised learning, ne’ebé model liga karakterístika input ba klase espesífiku atu ajuda halo desizaun automatiku no kompriende dadus ne’ebé la organiza..

Tipo Classification

Binary Classification
Multiclass Classification

Binary Classification

Predisaun entre klase rua (ezemplu: Spam / Lae Spam, Fraude / Lae Fraude).

(e.g., Spam/Not Spam, Fraud/Not Fraud).

Multiclass Classification

Predisaun entre klase barak liu rua (ezemplu: klasifika imajen hanesan bibi, asu, manu, ka ikan).

(e.g., classifying an image as a cat, dog, bird, or fish).

Aplikasaun Prinsipál

Filtru Spam: Fahe email ba spam ka inbox.

Rekognisaun Imajen: Identifika objetu, oin, ka sena iha imajen.

Diagnóstiku Médiku: Klasifika tumor hanesan benignu ka malignu.

Deteisaun Fraude: Identifika tranzasau n fraudulenta.

Servisu Kliente: Direciona pergunta kliente ba departamentu loos.

Ema Importante sira iha Classification AI

Ronald A.Fisher

(1930-an)Kria Linear Discriminant Analysis (LDA)Metodu classification uluk liu iha estatístika

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Thomas Bayes

(1700-an)Hatudu Bayes Theorem Sai base ba Naive Bayes Classifier iha AI .

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Frank Rosenblatt

Kria Perceptron Rede neural uluk liu ne’ebé uza ba classification

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J. Ross Quinlan

(1980-1990)Kria Decision Tree (ID3, C4.5)Importante tebes ba classification iha AI

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CLASSIFICATION

Algoritma
Logistic Regression Naive Bayes Decision Tree Random Forest Support Vector Machine (SVM) K-Nearest Neighbor (KNN) Neural Network / Deep Learning
Data
Dadus training → dadus atu hanorin modelu Dadus testing → dadus atu sukat rezultadu Label / klase Feature / atribut (informasaun husi dadus)
Proses
Dadus tama (Input) Pre-processing(hamos dadus sala, normalizasaun, encoding) Training modelu Predisaun Saída klase (Output)
Avaliasaun Model
Accuracy (lojak rezultadu) Precision Recall F1-Score Confusion Matrix

Saida Mak Sira Koalia Kona ba Classification

CLASSIFICATION

Matenek Nain Sira neebe kria Ona Classification iha era uluk ate agora husi matenek nain hira nee mak hamosu konseptu ka hetan konseptu