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Task 733 (Supervised Regression) quake
Uploaded 25-11-2022 by Continuous Integration

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Issue | #Downvotes for this reason | By |
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TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1) | Ordinary least squares Linear Regression. LinearRegression fits a linear model with coefficients w = (w1, ..., wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the linear approximation. |

TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_copy_X | true |

TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_fit_intercept | true |

TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_n_jobs | null |

TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_normalize | false |

0.1491 ± 0.0067 |

2178 |

0.1894 ± 0.0107 |