Train a classification model
In this exercise, you'll continue working with the weather dataset and train a Random Forest Classifier to predict rainfall.
The preprocess_dataset.py
contains helper functions to pre-process the dataset, and train.py
contains the training code.
Your task is to execute the pre-processing and training code one after another and generate metrics and output plots. Upon successful execution, metrics.json
contents would automatically change to correct values.
NOTE: Use python3
instead of python
to run Python scripts.
This exercise is part of the course
CI/CD for Machine Learning
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
