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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 or usual. what is commonplace or standard.

/lärj/

adjective

of considerable size, extent, etc..

/ˈjen(ə)rəˌlīz/

verb

make general or broad statement by inferring from specific cases.

/ˈinstəns/

noun other verb

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

/no͞oˈmerik/

adjective

relating to or expressed as number or 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

sure or definite. some.

/dəˈskriməˌnādiNG/

adjective verb

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

/ˌklasəfəˈkāSH(ə)n/

noun

action or process of classifying something.

adjective noun verb

Being different from or unrelated to another. 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 switching from one belief system to another. cause to change in form.

/ˈdif(ə)rənt/

adjective

Not of the same kind; unlike other things.

/tekˈnēk/

noun other

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

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