Loading [MathJax]/jax/output/HTML-CSS/fonts/TeX/fontdata.js
Copy and Edit

Sampling

Description

Bsc Hons Data Mining Mind Map on Sampling, created by Steve Hiscock on 15/12/2013.
Steve Hiscock
Mind Map by Steve Hiscock, updated more than 1 year ago
Steve Hiscock
Created by Steve Hiscock over 11 years ago
15
0
0
1 2 3 4 5 (0)

Resource summary

Sampling
  1. Simple Random Sample
    1. Seed number. The chance of selection is equal
      1. Elements selected independently
    2. Systematic
      1. Taking every nth observation
      2. Take the first n examples
        1. Stratified - Classifying the data, and taking random samples
          1. Unbalanced stratified
            1. Taking a random sample, from each class not proportional to the class sizes
          2. Overfitting
            1. Perfect fits to the data, when its like in reality unlike to be perfect
            Show full summary Hide full summary

            0 comments

            There are no comments, be the first and leave one below:

            Want to create your own Mind Maps for free with GoConqr? Learn more.

            Similar

            Ecosystems
            gordonbrad
            Sampling - Advantages and Disadvantages
            Robyn Chamberlain
            Chapter 19 Key Terms
            Monica Holloway
            Data Warehousing and Mining
            i7752068
            Biology B2.2 Organisms in the environment
            Corey Meehan
            INVESTIGATIONS
            barkerjames14
            Evaluate Statistical Reports
            serena_terehu
            The Environment
            Kit Sinclair
            Insurance Policy Advisor
            Sufiah Takeisu
            SAMPLING SCLY2
            ashiana121
            Browse Library