MACHINE LEARNING USING PYTHON: Discover the world of Machine Learning using Python algorithm analysis, ide and libraries. Projects focused on beginners. by CHAMBERLIN ERIC

Author:CHAMBERLIN, ERIC [CHAMBERLIN, ERIC]
Language: eng
Format: epub
Published: 2020-08-26T16:00:00+00:00

Finding the correct Regression Model

Theory

Perform research done by other experts and reference it into your model. It is important that before you start regression analysis, you should develop ideas about the most significant variables. Developing something based on outcome from other people eases the process of collecting data.

Complexity

You may think that complex problems need a complex model. Well, that is not the case because studies show that even a simple model can provide an accurate prediction. Once there is a model with the same explanatory potential, the simplest model is likely to be a perfect choice. You just need to start with a simple model as you slowly advance the complexity of the model.

How to Calculate the Accuracy of the Predictive Model?

There are different ways in which you can compute the accuracy of your model. Some of these methods include:

You divide the dataset into a test and training data set. Next, build the model based on the training set and apply the test set as a holdout sample to measure your trained model with the test data. The next thing to do is to compare the predicted values using actual values by computing the error by using measures like the “Mean Absolute Percent Error” (MAPE). If your MAPE is less than 10%, then you have a great model.

2. Another method is to calculate the “Confusion Matrix” to the computer False Positive Rate and False Negative Rate. These measures will allow a person to choose whether to accept the model or not. If you consider the cost of the errors, it becomes a critical stage of your decision whether to reject or accept the model.

3. Computing Receiver Operating Characteristic Curve (ROC) or the Lift Chart or Area under the curve (AUC) are other methods that you can use to decide on whether to reject or to accept a model.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.