update notes
This commit is contained in:
Morten Hjorth-Jensen
@@ -278,6 +278,28 @@ const thebe_selector_output = ".output, .cell_output"
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Week 36: Statistical interpretation of Linear Regression and Resampling techniques
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="exercisesweek37.html">
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Exercises week 37
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="week37.html">
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Week 37: Statitsitcal interpretations and Resampling Methods
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</a>
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</li>
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</ul>
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<p aria-level="2" class="caption" role="heading">
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<span class="caption-text">
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Projects
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</span>
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</p>
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<ul class="nav bd-sidenav">
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<li class="toctree-l1">
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<a class="reference internal" href="project1.html">
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Project 1 on Machine Learning, deadline October 9 (midnight), 2023
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</a>
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</li>
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</ul>
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</div>
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@@ -1243,10 +1265,10 @@ covariance matrix through the <strong>np.linalg.eig()</strong> function.</p>
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</div>
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</div>
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<div class="cell_output docutils container">
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.01354598394614281
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4.037503978471253
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[[0.95927495 2.85834701]
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[2.85834701 9.70233292]]
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.003788445263115483
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3.859628021353642
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[[0.93725291 2.8143782 ]
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[2.8143782 9.64008343]]
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</pre></div>
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</div>
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</div>
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@@ -1283,10 +1305,10 @@ a more brute force way. Here we scale the mean values for each column of the des
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</div>
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</div>
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<div class="cell_output docutils container">
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.09309965420717024
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1.6546329613199204
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[[1. 0.57867898]
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[0.57867898 1. ]]
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.07783152589039466
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2.06282378894371
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[[1. 0.66124684]
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[0.66124684 1. ]]
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</pre></div>
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</div>
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</div>
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@@ -1316,30 +1338,30 @@ this matrix we easily see that it is a positive definite matrix.</p>
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</div>
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</div>
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<div class="cell_output docutils container">
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[-0.49352496 -2.38394242]
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[ 0.18849928 0.73454039]
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[-1.58104393 -5.16350368]
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[ 0.34695383 0.23472346]
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[ 0.95953339 2.95819409]
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[ 1.31331481 3.59914165]
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[ 0.14846308 1.1180677 ]
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[ 0.26022531 0.23496851]
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[-0.12178678 -0.11868087]
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[-1.02063403 -1.21350883]]
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[-0.15499979 -0.6924788 ]
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[-0.50456256 -2.98248681]
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[ 1.97264311 4.4533029 ]
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[ 0.03286166 -0.27108228]
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[-0.97421755 -3.08891672]
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[-0.3744637 0.62223681]
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[ 1.18655084 4.67392051]
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[-0.51719273 -1.14648903]
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[-0.51793145 -1.51975002]
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[-0.14868784 -0.04825655]]
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0 1
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0 -0.493525 -2.383942
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1 0.188499 0.734540
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2 -1.581044 -5.163504
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3 0.346954 0.234723
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4 0.959533 2.958194
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5 1.313315 3.599142
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6 0.148463 1.118068
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7 0.260225 0.234969
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8 -0.121787 -0.118681
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9 -1.020634 -1.213509
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0 -0.155000 -0.692479
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1 -0.504563 -2.982487
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2 1.972643 4.453303
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3 0.032862 -0.271082
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4 -0.974218 -3.088917
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5 -0.374464 0.622237
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6 1.186551 4.673921
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7 -0.517193 -1.146489
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8 -0.517931 -1.519750
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9 -0.148688 -0.048257
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0 1
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0 1.000000 0.949087
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1 0.949087 1.000000
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0 1.000000 0.929612
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1 0.929612 1.000000
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</pre></div>
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</div>
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</div>
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@@ -1396,37 +1418,37 @@ this matrix we easily see that it is a positive definite matrix.</p>
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<div class="cell_output docutils container">
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 0 1 2 3 4 5 6 7 \
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0 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
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1 0.0 0.072254 0.074732 0.075050 0.075400 0.075727 0.068297 0.068215
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2 0.0 0.074732 0.078265 0.076259 0.077107 0.077954 0.068418 0.068622
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3 0.0 0.075050 0.076259 0.082604 0.082322 0.081988 0.078133 0.077663
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4 0.0 0.075400 0.077107 0.082322 0.082315 0.082269 0.077387 0.077091
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5 0.0 0.075727 0.077954 0.081988 0.082269 0.082525 0.076570 0.076454
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6 0.0 0.068297 0.068418 0.078133 0.077387 0.076570 0.075952 0.075224
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7 0.0 0.068215 0.068622 0.077663 0.077091 0.076454 0.075224 0.074613
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8 0.0 0.068168 0.068876 0.077210 0.076818 0.076371 0.074495 0.074004
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9 0.0 0.068163 0.069190 0.076775 0.076573 0.076324 0.073764 0.073398
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10 0.0 0.060924 0.060401 0.071600 0.070601 0.069522 0.071006 0.070141
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11 0.0 0.060711 0.060369 0.071122 0.070241 0.069283 0.070364 0.069583
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12 0.0 0.060534 0.060381 0.070671 0.069911 0.069080 0.069738 0.069042
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13 0.0 0.060394 0.060441 0.070245 0.069612 0.068912 0.069125 0.068517
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14 0.0 0.060291 0.060550 0.069845 0.069343 0.068782 0.068524 0.068007
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1 0.0 0.079729 0.074983 0.077280 0.078995 0.080168 0.068546 0.070577
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2 0.0 0.074983 0.071314 0.073127 0.075035 0.076519 0.065106 0.067183
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3 0.0 0.077280 0.073127 0.080979 0.082487 0.083517 0.075422 0.077387
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4 0.0 0.078995 0.075035 0.082487 0.084199 0.085447 0.076612 0.078725
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5 0.0 0.080168 0.076519 0.083517 0.085447 0.086942 0.077411 0.079671
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6 0.0 0.068546 0.065106 0.075422 0.076612 0.077411 0.072522 0.074203
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7 0.0 0.070577 0.067183 0.077387 0.078725 0.079671 0.074203 0.076007
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8 0.0 0.072638 0.069315 0.079368 0.080867 0.081977 0.075887 0.077825
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9 0.0 0.074671 0.071455 0.081315 0.082991 0.084282 0.077536 0.079615
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10 0.0 0.060425 0.057463 0.068676 0.069583 0.070161 0.067515 0.068912
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11 0.0 0.062197 0.059245 0.070486 0.071501 0.072183 0.069129 0.070625
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12 0.0 0.064048 0.061113 0.072365 0.073497 0.074293 0.070797 0.072398
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13 0.0 0.065974 0.063066 0.074310 0.075569 0.076491 0.072515 0.074230
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14 0.0 0.067967 0.065101 0.076313 0.077711 0.078771 0.074276 0.076112
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8 9 10 11 12 13 14
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0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
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1 0.068168 0.068163 0.060924 0.060711 0.060534 0.060394 0.060291
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2 0.068876 0.069190 0.060401 0.060369 0.060381 0.060441 0.060550
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3 0.077210 0.076775 0.071600 0.071122 0.070671 0.070245 0.069845
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4 0.076818 0.076573 0.070601 0.070241 0.069911 0.069612 0.069343
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5 0.076371 0.076324 0.069522 0.069283 0.069080 0.068912 0.068782
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6 0.074495 0.073764 0.071006 0.070364 0.069738 0.069125 0.068524
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7 0.074004 0.073398 0.070141 0.069583 0.069042 0.068517 0.068007
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8 0.073520 0.073044 0.069265 0.068792 0.068339 0.067905 0.067489
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9 0.073044 0.072705 0.068375 0.067990 0.067628 0.067288 0.066969
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10 0.069265 0.068375 0.067400 0.066672 0.065952 0.065237 0.064526
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11 0.068792 0.067990 0.066672 0.066006 0.065350 0.064701 0.064057
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12 0.068339 0.067628 0.065952 0.065350 0.064759 0.064176 0.063600
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13 0.067905 0.067288 0.065237 0.064701 0.064176 0.063661 0.063155
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14 0.067489 0.066969 0.064526 0.064057 0.063600 0.063155 0.062721
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1 0.072638 0.074671 0.060425 0.062197 0.064048 0.065974 0.067967
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2 0.069315 0.071455 0.057463 0.059245 0.061113 0.063066 0.065101
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3 0.079368 0.081315 0.068676 0.070486 0.072365 0.074310 0.076313
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4 0.080867 0.082991 0.069583 0.071501 0.073497 0.075569 0.077711
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5 0.081977 0.084282 0.070161 0.072183 0.074293 0.076491 0.078771
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6 0.075887 0.077536 0.067515 0.069129 0.070797 0.072515 0.074276
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7 0.077825 0.079615 0.068912 0.070625 0.072398 0.074230 0.076112
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8 0.079786 0.081728 0.070305 0.072122 0.074007 0.075958 0.077970
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9 0.081728 0.083834 0.071659 0.073585 0.075587 0.077666 0.079814
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10 0.070305 0.071659 0.063876 0.065268 0.066700 0.068170 0.069669
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11 0.072122 0.073585 0.065268 0.066742 0.068261 0.069823 0.071420
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12 0.074007 0.075587 0.066700 0.068261 0.069873 0.071534 0.073236
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13 0.075958 0.077666 0.068170 0.069823 0.071534 0.073300 0.075115
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14 0.077970 0.079814 0.069669 0.071420 0.073236 0.075115 0.077050
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</pre></div>
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</div>
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</div>
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