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</script>
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<link rel="stylesheet" href="../styles.css">
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<link rel="stylesheet" href="styles.css">
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</head>
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<body class="nav-sidebar docked nav-fixed">
@@ -296,7 +295,7 @@ <h1 class="title">IIVM Models</h1>
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</header>
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<div id="8d22efb7" class="cell" data-execution_count="1">
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<div id="98dda728" class="cell" data-execution_count="1">
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<div class="cell-output cell-output-display">
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<script>
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let is_dark_theme = function () {
@@ -413,7 +412,7 @@ <h2 class="anchored" data-anchor-id="late-coverage">LATE Coverage</h2>
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</div>
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<div id="callout-1" class="callout-1-contents callout-collapse collapse">
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<div class="callout-body-container callout-body">
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<div id="27c96856" class="cell" data-execution_count="2">
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<div id="64412e5e" class="cell" data-execution_count="2">
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<div class="cell-output cell-output-stdout">
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<pre><code>DoubleML Version 0.9.0
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Script iivm_late_coverage.py
@@ -425,10 +424,10 @@ <h2 class="anchored" data-anchor-id="late-coverage">LATE Coverage</h2>
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</div>
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</div>
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</div>
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<div id="8ce60946" class="cell" data-execution_count="4">
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<div id="a4570a77" class="cell" data-execution_count="4">
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<div class="cell-output cell-output-display">
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<style type="text/css">
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#T_dea56_row0_col4, #T_dea56_row1_col4, #T_dea56_row2_col4, #T_dea56_row3_col4 {
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#T_7154b_row0_col4, #T_7154b_row1_col4, #T_7154b_row2_col4, #T_7154b_row3_col4 {
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color: black;
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background-color: red;
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color: black;
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}
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</style>
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<div id="T_dea56" class="display nowrap quarto-float quarto-figure quarto-figure-center anchored" data-quarto-postprocess="true" style="table-layout:auto;width:auto;margin:auto;caption-side:bottom">
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<div id="T_7154b" class="display nowrap quarto-float quarto-figure quarto-figure-center anchored" data-quarto-postprocess="true" style="table-layout:auto;width:auto;margin:auto;caption-side:bottom">
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<figure class="quarto-float quarto-float-tbl figure">
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<figcaption class="quarto-float-caption-top quarto-float-caption quarto-float-tbl" id="T_dea56-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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<figcaption class="quarto-float-caption-top quarto-float-caption quarto-float-tbl" id="T_7154b-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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Table&nbsp;1: Coverage for 95.0%-Confidence Interval over 1000 Repetitions
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</figcaption>
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<div aria-describedby="T_dea56-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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<table id="T_dea56" class="display nowrap caption-top table table-sm table-striped small" data-quarto-postprocess="true">
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<div aria-describedby="T_7154b-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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<table id="T_7154b" class="display nowrap caption-top table table-sm table-striped small" data-quarto-postprocess="true">
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<thead>
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<tr class="header">
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<th id="T_dea56_level0_col0" class="col_heading level0 col0" data-quarto-table-cell-role="th">Learner g</th>
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<th id="T_dea56_level0_col1" class="col_heading level0 col1" data-quarto-table-cell-role="th">Learner m</th>
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<th id="T_dea56_level0_col2" class="col_heading level0 col2" data-quarto-table-cell-role="th">Bias</th>
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<th id="T_dea56_level0_col3" class="col_heading level0 col3" data-quarto-table-cell-role="th">CI Length</th>
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<th id="T_dea56_level0_col4" class="col_heading level0 col4" data-quarto-table-cell-role="th">Coverage</th>
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<th id="T_7154b_level0_col0" class="col_heading level0 col0" data-quarto-table-cell-role="th">Learner g</th>
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<th id="T_7154b_level0_col1" class="col_heading level0 col1" data-quarto-table-cell-role="th">Learner m</th>
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<th id="T_7154b_level0_col2" class="col_heading level0 col2" data-quarto-table-cell-role="th">Bias</th>
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<th id="T_7154b_level0_col3" class="col_heading level0 col3" data-quarto-table-cell-role="th">CI Length</th>
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<th id="T_7154b_level0_col4" class="col_heading level0 col4" data-quarto-table-cell-role="th">Coverage</th>
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</tr>
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</thead>
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<tbody>
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<tr class="odd">
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<td id="T_dea56_row0_col0" class="data row0 col0">Lasso</td>
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<td id="T_dea56_row0_col1" class="data row0 col1">Logistic Regression</td>
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<td id="T_dea56_row0_col2" class="data row0 col2">0.224</td>
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<td id="T_dea56_row0_col3" class="data row0 col3">1.107</td>
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<td id="T_dea56_row0_col4" class="data row0 col4">0.956</td>
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<td id="T_7154b_row0_col0" class="data row0 col0">Lasso</td>
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<td id="T_7154b_row0_col1" class="data row0 col1">Logistic Regression</td>
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<td id="T_7154b_row0_col2" class="data row0 col2">0.224</td>
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<td id="T_7154b_row0_col3" class="data row0 col3">1.107</td>
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<td id="T_7154b_row0_col4" class="data row0 col4">0.956</td>
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</tr>
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<tr class="even">
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<td id="T_dea56_row1_col0" class="data row1 col0">Lasso</td>
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<td id="T_dea56_row1_col1" class="data row1 col1">Random Forest</td>
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<td id="T_dea56_row1_col2" class="data row1 col2">0.230</td>
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<td id="T_dea56_row1_col3" class="data row1 col3">1.138</td>
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<td id="T_dea56_row1_col4" class="data row1 col4">0.965</td>
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<td id="T_7154b_row1_col0" class="data row1 col0">Lasso</td>
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<td id="T_7154b_row1_col1" class="data row1 col1">Random Forest</td>
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<td id="T_7154b_row1_col2" class="data row1 col2">0.230</td>
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<td id="T_7154b_row1_col3" class="data row1 col3">1.138</td>
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<td id="T_7154b_row1_col4" class="data row1 col4">0.965</td>
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</tr>
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<tr class="odd">
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<td id="T_dea56_row2_col0" class="data row2 col0">Random Forest</td>
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<td id="T_dea56_row2_col1" class="data row2 col1">Logistic Regression</td>
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<td id="T_dea56_row2_col2" class="data row2 col2">0.233</td>
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<td id="T_dea56_row2_col3" class="data row2 col3">1.147</td>
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<td id="T_dea56_row2_col4" class="data row2 col4">0.949</td>
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<td id="T_7154b_row2_col0" class="data row2 col0">Random Forest</td>
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<td id="T_7154b_row2_col1" class="data row2 col1">Logistic Regression</td>
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<td id="T_7154b_row2_col2" class="data row2 col2">0.233</td>
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<td id="T_7154b_row2_col3" class="data row2 col3">1.147</td>
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<td id="T_7154b_row2_col4" class="data row2 col4">0.949</td>
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</tr>
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<tr class="even">
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<td id="T_dea56_row3_col0" class="data row3 col0">Random Forest</td>
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<td id="T_dea56_row3_col1" class="data row3 col1">Random Forest</td>
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<td id="T_dea56_row3_col2" class="data row3 col2">0.235</td>
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<td id="T_dea56_row3_col3" class="data row3 col3">1.182</td>
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<td id="T_dea56_row3_col4" class="data row3 col4">0.960</td>
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<td id="T_7154b_row3_col0" class="data row3 col0">Random Forest</td>
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<td id="T_7154b_row3_col1" class="data row3 col1">Random Forest</td>
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<td id="T_7154b_row3_col2" class="data row3 col2">0.235</td>
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<td id="T_7154b_row3_col3" class="data row3 col3">1.182</td>
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<td id="T_7154b_row3_col4" class="data row3 col4">0.960</td>
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</tr>
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</tbody>
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</table>
@@ -494,7 +493,7 @@ <h2 class="anchored" data-anchor-id="late-coverage">LATE Coverage</h2>
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<script type="module">
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const { DataTable, jQuery: $ } = await import(window._datatables_src_for_itables_2_2_2);
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document.querySelectorAll("#T_dea56:not(.dataTable)").forEach(table => {
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document.querySelectorAll("#T_7154b:not(.dataTable)").forEach(table => {
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if (!(table instanceof HTMLTableElement))
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return;
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@@ -511,10 +510,10 @@ <h2 class="anchored" data-anchor-id="late-coverage">LATE Coverage</h2>
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</script>
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</div>
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</div>
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<div id="6b9b9077" class="cell" data-execution_count="5">
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<div id="5c9c3e27" class="cell" data-execution_count="5">
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<div class="cell-output cell-output-display">
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<style type="text/css">
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#T_a352f_row0_col4, #T_a352f_row1_col4, #T_a352f_row2_col4, #T_a352f_row3_col4 {
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#T_4f7db_row0_col4, #T_4f7db_row1_col4, #T_4f7db_row2_col4, #T_4f7db_row3_col4 {
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color: black;
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background-color: red;
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color: black;
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}
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</style>
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<div id="T_a352f" class="display nowrap quarto-float quarto-figure quarto-figure-center anchored" data-quarto-postprocess="true" style="table-layout:auto;width:auto;margin:auto;caption-side:bottom">
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<div id="T_4f7db" class="display nowrap quarto-float quarto-figure quarto-figure-center anchored" data-quarto-postprocess="true" style="table-layout:auto;width:auto;margin:auto;caption-side:bottom">
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<figure class="quarto-float quarto-float-tbl figure">
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<figcaption class="quarto-float-caption-top quarto-float-caption quarto-float-tbl" id="T_a352f-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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<figcaption class="quarto-float-caption-top quarto-float-caption quarto-float-tbl" id="T_4f7db-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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Table&nbsp;2: Coverage for 90.0%-Confidence Interval over 1000 Repetitions
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</figcaption>
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<div aria-describedby="T_a352f-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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<table id="T_a352f" class="display nowrap caption-top table table-sm table-striped small" data-quarto-postprocess="true">
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<div aria-describedby="T_4f7db-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
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<table id="T_4f7db" class="display nowrap caption-top table table-sm table-striped small" data-quarto-postprocess="true">
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<tr class="header">
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<th id="T_a352f_level0_col0" class="col_heading level0 col0" data-quarto-table-cell-role="th">Learner g</th>
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<th id="T_a352f_level0_col1" class="col_heading level0 col1" data-quarto-table-cell-role="th">Learner m</th>
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<th id="T_a352f_level0_col2" class="col_heading level0 col2" data-quarto-table-cell-role="th">Bias</th>
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<th id="T_a352f_level0_col3" class="col_heading level0 col3" data-quarto-table-cell-role="th">CI Length</th>
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<th id="T_a352f_level0_col4" class="col_heading level0 col4" data-quarto-table-cell-role="th">Coverage</th>
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<th id="T_4f7db_level0_col0" class="col_heading level0 col0" data-quarto-table-cell-role="th">Learner g</th>
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<th id="T_4f7db_level0_col1" class="col_heading level0 col1" data-quarto-table-cell-role="th">Learner m</th>
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<th id="T_4f7db_level0_col2" class="col_heading level0 col2" data-quarto-table-cell-role="th">Bias</th>
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<th id="T_4f7db_level0_col3" class="col_heading level0 col3" data-quarto-table-cell-role="th">CI Length</th>
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<th id="T_4f7db_level0_col4" class="col_heading level0 col4" data-quarto-table-cell-role="th">Coverage</th>
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</thead>
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<tbody>
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<td id="T_a352f_row0_col0" class="data row0 col0">Lasso</td>
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<td id="T_a352f_row0_col1" class="data row0 col1">Logistic Regression</td>
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<td id="T_a352f_row0_col2" class="data row0 col2">0.224</td>
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<td id="T_a352f_row0_col3" class="data row0 col3">0.929</td>
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<td id="T_a352f_row0_col4" class="data row0 col4">0.902</td>
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<td id="T_4f7db_row0_col0" class="data row0 col0">Lasso</td>
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<td id="T_4f7db_row0_col1" class="data row0 col1">Logistic Regression</td>
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<td id="T_4f7db_row0_col2" class="data row0 col2">0.224</td>
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<td id="T_4f7db_row0_col3" class="data row0 col3">0.929</td>
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<td id="T_4f7db_row0_col4" class="data row0 col4">0.902</td>
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<tr class="even">
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<td id="T_a352f_row1_col0" class="data row1 col0">Lasso</td>
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<td id="T_a352f_row1_col1" class="data row1 col1">Random Forest</td>
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<td id="T_a352f_row1_col2" class="data row1 col2">0.230</td>
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<td id="T_a352f_row1_col3" class="data row1 col3">0.955</td>
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<td id="T_a352f_row1_col4" class="data row1 col4">0.907</td>
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<td id="T_4f7db_row1_col0" class="data row1 col0">Lasso</td>
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<td id="T_4f7db_row1_col1" class="data row1 col1">Random Forest</td>
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<td id="T_4f7db_row1_col2" class="data row1 col2">0.230</td>
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<td id="T_4f7db_row1_col3" class="data row1 col3">0.955</td>
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<td id="T_4f7db_row1_col4" class="data row1 col4">0.907</td>
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</tr>
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<tr class="odd">
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<td id="T_a352f_row2_col0" class="data row2 col0">Random Forest</td>
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<td id="T_a352f_row2_col1" class="data row2 col1">Logistic Regression</td>
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<td id="T_a352f_row2_col2" class="data row2 col2">0.233</td>
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<td id="T_a352f_row2_col3" class="data row2 col3">0.963</td>
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<td id="T_a352f_row2_col4" class="data row2 col4">0.901</td>
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<td id="T_4f7db_row2_col0" class="data row2 col0">Random Forest</td>
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<td id="T_4f7db_row2_col1" class="data row2 col1">Logistic Regression</td>
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<td id="T_4f7db_row2_col2" class="data row2 col2">0.233</td>
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<td id="T_4f7db_row2_col3" class="data row2 col3">0.963</td>
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<td id="T_4f7db_row2_col4" class="data row2 col4">0.901</td>
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</tr>
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<tr class="even">
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<td id="T_a352f_row3_col0" class="data row3 col0">Random Forest</td>
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<td id="T_a352f_row3_col1" class="data row3 col1">Random Forest</td>
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<td id="T_a352f_row3_col2" class="data row3 col2">0.235</td>
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<td id="T_a352f_row3_col3" class="data row3 col3">0.992</td>
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<td id="T_a352f_row3_col4" class="data row3 col4">0.906</td>
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<td id="T_4f7db_row3_col0" class="data row3 col0">Random Forest</td>
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<td id="T_4f7db_row3_col1" class="data row3 col1">Random Forest</td>
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<td id="T_4f7db_row3_col2" class="data row3 col2">0.235</td>
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<td id="T_4f7db_row3_col3" class="data row3 col3">0.992</td>
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<td id="T_4f7db_row3_col4" class="data row3 col4">0.906</td>
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</tr>
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</tbody>
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</table>
@@ -580,7 +579,7 @@ <h2 class="anchored" data-anchor-id="late-coverage">LATE Coverage</h2>
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<script type="module">
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const { DataTable, jQuery: $ } = await import(window._datatables_src_for_itables_2_2_2);
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document.querySelectorAll("#T_a352f:not(.dataTable)").forEach(table => {
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document.querySelectorAll("#T_4f7db:not(.dataTable)").forEach(table => {
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if (!(table instanceof HTMLTableElement))
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return;
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@@ -694,7 +693,7 @@ <h2 class="anchored" data-anchor-id="late-coverage">LATE Coverage</h2>
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}
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var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
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var mailtoRegex = new RegExp(/^mailto:/);
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var filterRegex = new RegExp('/' + window.location.host + '/');
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var filterRegex = new RegExp("https:\/\/DoubleML\.github\.io\/doubleml-coverage\/");
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var isInternal = (href) => {
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return filterRegex.test(href) || localhostRegex.test(href) || mailtoRegex.test(href);
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}

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