# Accuracy\_score

**URL:** <https://discourse.julialang.org/t/accuracy-score/47650>\
**Category:** General Usage\
**Created:** [October 2, 2020, 5:02pm UTC](https://discourse.julialang.org/t/accuracy-score/47650 "2020-10-02T17:02:24Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Mun\_Barimukh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mun_barimukh/32/17927_2.png) [@Mun\_Barimukh](https://discourse.julialang.org/u/Mun_Barimukh)\
**Post date:** [October 2, 2020, 5:02pm UTC](https://discourse.julialang.org/t/accuracy-score/47650/1 "2020-10-02T17:02:24Z")

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How to check the accuracy for linear regression model.

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**Author:** ![rafael.guerra](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rafael.guerra/32/216610_2.png) [@rafael.guerra](https://discourse.julialang.org/u/rafael.guerra)\
**Post date:** [October 2, 2020, 8:33pm UTC](https://discourse.julialang.org/t/accuracy-score/47650/2 "2020-10-02T20:33:53Z")

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The R^2 of linear regression model and some other statistics can be obtained using GLM package:

```julia
using GLM, DataFrames
x = collect(-10:10)
y = 2.0*x .+ pi .+ rand([-0.1,0.1],length(x))
data = DataFrame(X=x, Y=y)
ols = lm(@formula(Y ~ 1 + X), data)
r2(ols)

```

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<div class="post-metadata">

**Author:** ![Mun\_Barimukh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mun_barimukh/32/17927_2.png) [@Mun\_Barimukh](https://discourse.julialang.org/u/Mun_Barimukh)\
**Post date:** [October 3, 2020, 4:27am UTC](https://discourse.julialang.org/t/accuracy-score/47650/3 "2020-10-03T04:27:12Z")

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Thank you so much.