April 2018
Beginner to intermediate
566 pages
12h 17m
English
In this section, we will perform actual training using the following ML algorithms. This step is time-consuming as it needs more computation power. We use 75% of the training dataset for actual training and 25% of the dataset for testing in order to measure the training accuracy.
You can find the code snippet in the following figure:

Figure 1.52: Code snippet for performing training
In the preceding code snippet, you can see that we performed the actual training operation using the fit() function from the scikit-learn library. This function uses the given parameter and trains the model by taking the input of the target data ...