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Data Mining with Weka (4.3: Classification by regression)

44,770 views

Video Language:

  • English

Caption Language:

  • {{captionLanguage | language_name}} ({{captionLanguage}})

Accent:

  • English (NZ)

Speech Time:

91%
  • 9:47 / 10:42

Speech Rate:

  • 140 wpm - Conversational

Category:

  • Education

Intro:

Video Vocabulary

/ˈôrdnˌerē/

adjective noun

normal. what is commonplace or standard.

/lärj/

adjective

Biggest.

/ˈjen(ə)rəˌlīz/

verb

To apply a particular idea to a large group.

/ˈinstəns/

noun other verb

example or single occurrence of something. Examples of some things. To give as an example of something else.

/no͞oˈmerik/

adjective

Concerning or involving numbers.

/rəˈɡreSH(ə)n/

noun

return to former or less developed state.

/prəˈz(y)o͞oməblē/

adverb

used to convey that what is asserted is very likely though not known for certain.

/ˈsərtn/

adjective pronoun

Referring to an unspecified amount or quantity. some.

/dəˈskriməˌnādiNG/

adjective verb

having or showing refined taste or good judgement. To unfairly treat one group better than another.

/ˌklasəfəˈkāSH(ə)n/

noun

Putting similar items into groups or sets.

adjective noun verb

forming or viewed as unit apart or by itself. individual items of clothing suitable for wearing in different combinations. To move things away from each other.

/ˈpräbləm/

adjective noun

Causing trouble. Something difficult to deal with or causes trouble.

noun verb

person who has changed faith or belief. To switch from a religion, belief etc. to another.

/ˈdif(ə)rənt/

adjective

not same as another or each other.

/tekˈnēk/

noun other

way of carrying out particular task. Ways of doing by using special knowledge or skill.

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