Challenge - Classification Prediction With Data Preprocessing

Challenge - Load data, preprocess, feature selection, and create a model

In this challenge, you need to do the following tasks:

• Load the challenge1.csv as your dataset.
• Preprocess your dataset and select best K features.

The value range of different features varies greatly, so MinMax can be considered.

• Split this dataset into two parts as train and test set. The train set accounts for 80%.
• Create a logistic regression model and train it. This is a binary classification task.
• Evaluate this model using the F1 score.
• Return the F1 score.

Note: You can load challenge1.csv, this file is already in this platform. The label is the column target.

If you are already familiar with the pandas library, it’s easy for you to load this dataset. If not, you can click the Hint to get the code of loading data.