Computer scienceData scienceInstrumentsScikit-learnScikit-learn basics

Training a model with scikit-learn

DummyRegressor

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You are given a dataset.

0. Load the dataset. You can use for this the code snippet below (pandas must be installed on your machine):

import pandas as pd

df = pd.read_csv('file_path\file_name.txt')

1. Train the DummyRegressor on the training data df["X"] and the target data df["y"]

2. Predict the result for the data stored in X

3. Round the first element of the resulting array to 4 decimal places and insert it in the answer field.

Pass the following parameters to the DummyRegressor : strategy='quantile', quantile=0.4

Write code in your IDE to process the text file and display the results below
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