There are literally loads of different measures you can use.
But every video, book or website you've tried to learn from favours a different method.
And you get confused 'cos you don't know which one is the right one for your data.
There is a way you can objectively assess the accuracy of your data in a way that is guaranteed to work!
Learning how to measure the accuracy of your models correctly helps you make the right choices for your data.
It's the difference between choosing the best model and rejecting it for one that's sub-standard and just doesn't get the job done.
Errors of Predictive Models teaches you how to make the correct choices every time, so you will always choose the best model for your purposes.
In this course you have over 2.5 hours of on demand videos (plus practice sessions for every lesson) that will guide you through...
Errors of Predictive Models is a brand new course.
And you can only get it in The Hive - nowhere else!
This course is for you if you want:
We are proud to offer a 30 day no-quibble money back guarantee*.
We don't like being hassled when we want our money back, and we extend that same courtesy to you.
Course fees can be refunded in full any time during the first 30 days after payment*. After the 30 day period you will not be able to get a refund.
*If any member logs in several times or follows the majority of any premium course, we reserve the right to refuse refund.
Knowing which measures to use to critically evaluate predictive models is confusing and can literally take you years before you really have it pinned down.
I know this, because that's how long it took me to cut through all the confusion.
So here it is - the course that you asked me to create - Errors of Predictive Models.
I look forward to seeing you on the inside!
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