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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

To apply a particular idea to a large group.

/ˈinstəns/

noun other verb

example or single occurrence of something. Examples of some things. cite (fact, case, etc.) as example.

/no͞oˈmerik/

adjective

relating to or expressed as number or 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

Being sure about something; without doubt. 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

Being different from or unrelated to another. individual items of clothing suitable for wearing in different combinations. To divide two things by being in between them.

/ˈpräbləm/

adjective noun

Causing trouble. unwelcome or harmful matter.

noun verb

person who has changed faith or belief. To change form, character, or function 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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