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​Errors of Predictive Models

​You’ve created a bunch of predictive models and you need to measure the accuracies of each of them to choose the one that’s best for your purposes.

In this course I’m going to show you all of the most used measures and ​teach you exactly when to use them – and when not to.

Most importantly I’m going to show you how to interpret each of them, so you always know which is the best measure for your uses.

​Video lessons

​Practice sessions

​Downloadable resources

​Certificate of completion

​Interactive experience

​Perfect for beginners

$ 97

$ 299

Try it first - decide later!

​No obligation to buy or register

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Lifetime Access

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  • ​Description
  • ​Content
  • ​LEARNING Outcomes
  • ​FORUM
  • ​CertificatE

​This course has a dedicated forum where you can ask questions, get answers and connect with our learners.

You can find the forum here:


We are currently in the process of moving all our courses from the old system to here - our new system.

​This course is in the process of being transferred, and as such no lessons are currently available - but they will be very soon!

​While this course is being transferred the price will remain very low, so take advantage while you can - and remember - when you purchase you get lifetime access!

​Your Curriculum


Introduction to ​the Errors of Predictive Models

An introduction to ​this course and ​what to expect as you learn from the video lessons and practice exercises

​Open Access


​Introduction to ​the course


​Errors of Regression Models (Part 1)

In this chapter you'll ​learn the building blocks of ​calculating the variability of your data using R-Squared and Variance

​Open Access

​Free Plan


​Introduction to the Errors of Regression-Based Predictive Models

​Errors, Residuals, Deviations





​Errors of Regression Models (Part 2)

​In this chapter you'll ​learn the building blocks of ​calculating the ​bias of your data, why how and when to use each measure

​Free Plan



​Mean Absolute Error

​Mean ​Error


​Bias/Variance Trade-Off



​Errors of ​Classification Models (Part 1)

In this chapter you'll ​​learn how to measure the accuracy of your models - and why you need additional measures!



​Introduction to the Errors of ​Classification-Based Predictive Models

​Confusion Matrix


​Sensitivity & Specificity



​Errors of ​Classification Models (Part 2)

​In this chapter you'll ​​learn ​about the additional measures you need, how to calculate them, when and why!



​F-measure & Youden’s J

​ROC Curves

​AUC & Gini Coefficient

​Multi-Class Classifications



​Course Recap

In this chapter you'll ​​recap everything you've learnt about assessing regression-based and classification-based predictive models



​Course Recap

​Your Course Certificate


Curriculum Jump-Station

​Get Started

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100% Satisfaction Guarantee for 30-Days

​​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.

​You can be refunded in full any time during the first 30 days of your purchase or subscription*. After the 30 day period you will not be able to get a full refund, but you may cancel ​your subscription any time you like.

*If any member exceeds 10% of total progress or ​logs in several times and follows the majority of ​any premium course, we reserve the right to refuse refund.

CEO Lee Baker
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Got any questions or comments? I need your feedback to help me create the perfect course for your needs!

​Ask your ​questions ​below.

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