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Data Mining with Weka (4.3: Classification by regression)

44,770 views

WekaMOOC

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

Tags :

Intro:

Video Vocabulary

ordinary

/ˈôrdnˌerē/

adjective noun

normal. what is commonplace or standard.

largest

/lärj/

adjective

of considerable size, extent, etc..

generalize

/ˈjen(ə)rəˌlīz/

verb

make general or broad statement by inferring from specific cases.

instances

/ˈinstəns/

noun other verb

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

numeric

/no͞oˈmerik/

adjective

Concerning or involving numbers.

regression

/rəˈɡreSH(ə)n/

noun

Going back in time or development.

presumably

/prəˈz(y)o͞oməblē/

adverb

So as to be likely to be true or correct.

certain

/ˈsərtn/

adjective pronoun

Definite, fixed. some.

discriminating

/dəˈskriməˌnādiNG/

adjective verb

having or showing refined taste or good judgement. To distinguish the differences between things.

classification

/ˌklasəfəˈkāSH(ə)n/

noun

action or process of classifying something.

separate
adjective noun verb

forming or viewed as unit apart or by itself. individual items of clothing suitable for wearing in different combinations. To divide two things by being in between them.

problem

/ˈpräbləm/

adjective noun

Causing trouble. Question to show understanding of a math concept.

convert
noun verb

person who has changed faith or belief. cause to change in form.

different

/ˈdif(ə)rənt/

adjective

not same as another or each other.

techniques

/tekˈnēk/

noun other

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

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