how the "Most Likely / Prediction" in Model Simulator calculated??

bniyaseen

what the algorithm or the criteria were taken to find the Most Likely / Prediction. if I want to write it as science in a research paper.

IngoRM

Hi,

It is the confidence level of the underlying machine learning model. Here is some more information:

http://hunch.net/?p=317

Technically only for the Bayes classifier the confidence equals a probablity but it has a similar meaning for all other models as well. For example in an SVM, the confidence is typically computed based on the distance of the data point to the separating hyperplane.

Hope that helps,

Ingo

IngoRM

First of all: please stop double posting. Spamming the community is not going to get you help faster, it will only annoy people.

I would recommend to go through some data science training, our new Academy site may be useful:http://academy.www.turtlecreekpls.com

This video in particular covers some of the questions you have but there is more to discover:

https://academy.www.turtlecreekpls.com/learn/video/threshold-intro

A book like Elements of Statistical Learning may be helpful as well:

https://web.stanford.edu/~hastie/ElemStatLearn/

Hope this helps,

Ingo

bniyaseen

IngoRM
I have doubt in two points:
1:密苏里州的置信度计算del and for each label?
2: what is the best confidence level(high or low)?
and in this result below, what means on 97% and how decided that the GOD class is the most likely