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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

Biggest.

/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. cite (fact, case, etc.) as example.

/no͞oˈmerik/

adjective

Concerning or involving numbers.

/rəˈɡreSH(ə)n/

noun

Going back in time or development.

/prəˈz(y)o͞oməblē/

adverb

So as to be likely to be true or correct.

/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. Question to show understanding of a math concept.

noun verb

Person switching from one belief system to another. To switch from a religion, belief etc. to another.

/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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