June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Using gradient boost regression algorithm for the regressors challenge
In this section, we will see how we can use the gradient boost regression algorithm for the regressors challenge:
First, we train the model using the gradient boost regression algorithm:
Once the gradient regression algorithm model is trained, we use it to predict the values:
y_pred = regressor.predict(X_test)
Finally, we calculate RMSE to quantify the performance of the model:
from sklearn.metrics import mean_squared_errorfrom math import sqrtsqrt(mean_squared_error(y_test, y_pred))
Running this will give us the output value, as follows:
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