updating typos

This commit is contained in:
Morten Hjorth-Jensen
2023-09-11 21:07:47 +02:00
parent b1a5156248
commit 8ef5665705
17 changed files with 6112 additions and 2653 deletions
+32 -24
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@@ -1646,7 +1646,7 @@ Since we are not using <strong>Scikit-Learn</strong> here we can define our own
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.996535469511469
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.9952714635635723
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@@ -1663,7 +1663,7 @@ Since we are not using <strong>Scikit-Learn</strong> here we can define our own
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.0077750600806588575
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.009039197557276654
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@@ -1678,23 +1678,31 @@ Since we are not using <strong>Scikit-Learn</strong> here we can define our own
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[0.05751737 0.02644748 0.02533184 0.02193035 0.02521356 0.00712899
0.00857688 0.0101339 0.01097227 0.01132947 0.01644452 0.01655455
0.00771046 0.05177021 0.01374437 0.04208274 0.01667873 0.00228986
0.00749579 0.00852965 0.01628823 0.0341899 0.01178253 0.00626339
0.00514913 0.00791019 0.00363986 0.00471966 0.00390805 0.00910241
0.00232255 0.02670606 0.03224523 0.01637147 0.00918914 0.02705154
0.00321694 0.01904583 0.0177181 0.00538287 0.02291121 0.01028255
0.04566103 0.00954257 0.00011551 0.0283589 0.00953728 0.03399521
0.01205286 0.02251524 0.00353655 0.02344605 0.05288681 0.01950574
0.00330907 0.01492855 0.01472766 0.03952093 0.01491299 0.00187154
0.02897168 0.00072037 0.00895315 0.02775293 0.01547992 0.04117184
0.0116726 0.03330335 0.01515966 0.0070381 0.01317074 0.00654702
0.00329264 0.02502101 0.00226569 0.05029894 0.01929643 0.03028379
0.053994 0.03413302 0.01854824 0.00393744 0.0600658 0.01855624
0.0590702 0.01826743 0.01039549 0.02151219 0.00928016 0.03536062
0.00503218 0.08526352 0.00506765 0.02609885 0.04771105 0.0010059
0.00659545 0.00143188 0.01489692 0.08237141]
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2.53861506e-02 7.46543658e-02 2.79339933e-02 1.32946226e-02
3.80320028e-03 2.40474117e-02 4.36028477e-02 3.24382528e-02
1.26022420e-02 5.06848116e-03 1.96793569e-02 1.04826413e-04
9.25580178e-03 1.80413812e-02 1.22519792e-02 1.01505087e-02
2.67180442e-02 6.71316703e-02 7.68415876e-03 3.33174939e-02
1.43570786e-02 8.43459933e-03 4.11046407e-03 9.10453697e-04
4.33142087e-03 7.64507671e-02 2.19696497e-02 1.18460525e-02
4.35665906e-02 3.62818572e-02 1.61018347e-03 3.78738205e-02
4.57031517e-03 3.11279984e-02 1.07745809e-02 7.09848429e-03
2.30006341e-03 4.62535124e-02 6.70493970e-02 6.26624267e-03
4.23399553e-02 1.88690267e-02 7.46184816e-03 1.75934097e-02
3.60820168e-02 1.09322328e-02 3.16749353e-02 2.30626515e-02
5.76196895e-04 1.51000420e-02 1.95456434e-03 1.22138768e-02
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1.84291049e-02 1.78104004e-02 6.34498455e-02 1.50032818e-02
3.43525003e-02 1.52033394e-03 3.95921014e-02 7.67148008e-02
2.40893740e-02 6.75638425e-02 1.22105472e-02 7.72706640e-03
3.00721135e-02 8.77081499e-02 1.40684484e-02 4.57081718e-02
3.51190686e-02 7.42092776e-02 4.03105744e-02 1.08994018e-02
1.37071826e-02 3.69106251e-02 1.94966662e-03 1.71112140e-02
3.12669602e-03 3.01610677e-02 1.72139847e-02 2.75703556e-02
2.23333773e-02 2.76892410e-03 8.05886306e-02 1.15545946e-01
4.88029792e-02 4.59648068e-02 1.98750794e-02 2.69178261e-03
1.07925220e-02 1.13151043e-03 5.00620642e-03 3.69871367e-03]
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@@ -1763,15 +1771,15 @@ but now splitting the data into a training set and a test set.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 1.95976303 0.48974963 2.82202765 3.79224555 -2.14248744]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 2.04038959 -0.81343612 7.94304103 -3.83770135 1.70073443]
Training R2
0.9947613223847728
0.9954441212986554
Training MSE
0.010596520060222926
0.008653750612762521
Test R2
0.989645675273948
0.99255249100346
Test MSE
0.01889099091713886
0.016970019460234076
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