Welcome to breton_cretenet’s documentation!
Contents:
Main results
In the table bellow, you can find the test and training score (Mean Absolute Error) of our linear regression model.
The task was to predict the price of a house based on several features. We do not provide more information about the dataset since this is a well-known dataset that we use for a toy project.
To use other models or perform other types of tasks on other datasets, please type breton_cretenet_results --help.
As you can see in the table, each model is trained and tested with 3 different random states.
Random state |
linear |
|
|---|---|---|
model |
42 |
LinearRegression() |
score_test |
42 |
4.24265375592562 |
score_train |
42 |
2.269868774064942 |
model |
84 |
LinearRegression() |
score_test |
84 |
4.835212745285229 |
score_train |
84 |
1.8993063048667522 |
model |
126 |
LinearRegression() |
score_test |
126 |
4.185290166938272 |
score_train |
126 |
1.6031351348613696 |