From df671600cce08e5e975ae8f6fa8dc92123fa12a3 Mon Sep 17 00:00:00 2001
From: Denys Herasymuk <herasymuk@ucu.edu.ua>
Date: Sat, 28 Dec 2024 14:55:10 +0200
Subject: [PATCH] Prepared scripts to run models for new MVI techniques

---
 .../run-exp1-imputers-template-nomi.sbatch    |  2 +-
 .../Viz_For_Diff_Datasets.ipynb               | 28 +++++++++----------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/cluster/run_exp1/run-exp1-imputers-template-nomi.sbatch b/cluster/run_exp1/run-exp1-imputers-template-nomi.sbatch
index 5088828..79c5734 100644
--- a/cluster/run_exp1/run-exp1-imputers-template-nomi.sbatch
+++ b/cluster/run_exp1/run-exp1-imputers-template-nomi.sbatch
@@ -1,7 +1,7 @@
 #!/bin/bash
 
 #SBATCH --nodes=1
-#SBATCH --mem=192GB
+#SBATCH --mem=150GB
 #SBATCH --cpus-per-task=24
 #SBATCH --time=48:00:00
 #SBATCH --mail-type=END
diff --git a/notebooks/visualizations/viz_for_model_performance/single_mechanism_exp/Viz_For_Diff_Datasets.ipynb b/notebooks/visualizations/viz_for_model_performance/single_mechanism_exp/Viz_For_Diff_Datasets.ipynb
index b70d961..ce88bd4 100644
--- a/notebooks/visualizations/viz_for_model_performance/single_mechanism_exp/Viz_For_Diff_Datasets.ipynb
+++ b/notebooks/visualizations/viz_for_model_performance/single_mechanism_exp/Viz_For_Diff_Datasets.ipynb
@@ -19,8 +19,8 @@
    "id": "initial_id",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-12-28T09:49:24.343644Z",
-     "start_time": "2024-12-28T09:49:23.644529Z"
+     "end_time": "2024-12-28T12:51:35.716140Z",
+     "start_time": "2024-12-28T12:51:35.438458Z"
     },
     "collapsed": false,
     "jupyter": {
@@ -237,13 +237,13 @@
      "data": {
       "text/html": [
        "\n",
-       "<div id=\"altair-viz-11362e6f23cb4fc9bdb8d8a257dc309d\"></div>\n",
+       "<div id=\"altair-viz-012bf798f5ae47e896ddd84f092c044f\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-11362e6f23cb4fc9bdb8d8a257dc309d\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-11362e6f23cb4fc9bdb8d8a257dc309d\");\n",
+       "    if (outputDiv.id !== \"altair-viz-012bf798f5ae47e896ddd84f092c044f\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-012bf798f5ae47e896ddd84f092c044f\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
@@ -289,7 +289,7 @@
        "        .catch(showError)\n",
        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300, \"stroke\": null}, \"axis\": {\"labelFontSize\": 26, \"labelFontWeight\": \"normal\", \"titleFontSize\": 28, \"titleFontWeight\": \"normal\"}, \"facet\": {\"spacing\": 15}, \"header\": {\"labelFontSize\": 24, \"labelOrient\": \"bottom\", \"labelPadding\": 5, \"titleFontSize\": 28}, \"legend\": {\"columns\": 5, \"direction\": \"horizontal\", \"labelFontSize\": 24, \"labelLimit\": 400, \"orient\": \"top\", \"symbolOffset\": 140, \"symbolStrokeWidth\": 10, \"titleAnchor\": \"middle\", \"titleFontSize\": 26, \"titleLimit\": 300}, \"title\": {\"fontSize\": 28}}, \"data\": {\"name\": \"data-d99d099e5e7cfc9baeb1e248f90a6618\"}, \"facet\": {\"column\": {\"field\": \"Dataset_Name_With_Model_Name\", \"sort\": {\"field\": \"Dataset_Sequence_Number\", \"order\": \"ascending\"}, \"title\": null, \"type\": \"nominal\"}}, \"spec\": {\"layer\": [{\"mark\": {\"type\": \"boxplot\", \"median\": {\"stroke\": \"black\", \"strokeWidth\": 0.7}, \"ticks\": true}, \"encoding\": {\"color\": {\"field\": \"Null_Imputer_Name\", \"sort\": [\"deletion\", \"median-mode\", \"median-dummy\", \"miss_forest\", \"k_means_clustering\", \"datawig\", \"automl\", \"nomi\", \"tdm\", \"gain\", \"notmiwae\"], \"title\": null, \"type\": \"nominal\"}, \"x\": {\"axis\": {\"labels\": false}, \"field\": \"Null_Imputer_Name\", \"sort\": [\"deletion\", \"median-mode\", \"median-dummy\", \"miss_forest\", \"k_means_clustering\", \"datawig\", \"automl\", \"nomi\", \"tdm\", \"gain\", \"notmiwae\"], \"title\": null, \"type\": \"nominal\"}, \"y\": {\"field\": \"Metric_Value\", \"scale\": {\"zero\": false}, \"title\": \"Accuracy\", \"type\": \"quantitative\"}}}, {\"mark\": \"rule\", \"encoding\": {\"color\": {\"value\": \"blue\"}, \"size\": {\"value\": 2}, \"y\": {\"field\": \"Baseline_Median\", \"type\": \"quantitative\"}}}], \"height\": 200, \"width\": 180}, \"resolve\": {\"scale\": {\"y\": \"independent\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-d99d099e5e7cfc9baeb1e248f90a6618\": [{\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"deletion\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 100, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.74, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-mode\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 100, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.74, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-dummy\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 100, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7366666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"miss_forest\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 100, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7366666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"datawig\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 100, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7366666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"automl\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 100, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7466666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"deletion\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 200, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7566666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-dummy\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 200, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7666666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-mode\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 200, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7666666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"miss_forest\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 200, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7566666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"datawig\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 200, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.76, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"automl\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 200, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7733333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"deletion\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 300, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.74, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-dummy\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 300, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.79, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-mode\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 300, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7833333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"datawig\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 300, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7666666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"miss_forest\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 300, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.77, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"automl\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 300, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7866666666666666, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"deletion\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 400, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7333333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-dummy\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 400, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7433333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-mode\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 400, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7366666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"datawig\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 400, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.74, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"automl\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 400, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7433333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"deletion\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 500, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.78, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"miss_forest\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 400, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7366666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-dummy\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 500, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7466666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"median-mode\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 500, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7666666666666667, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"datawig\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 500, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.75, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"automl\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 500, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7633333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"deletion\", \"Evaluation_Scenario\": \"exp1_mnar3\", \"Virny_Random_State\": 600, \"Model_Name\": \"rf_clf\", \"Subgroup\": \"overall\", \"Metric\": \"Accuracy\", \"Metric_Value\": 0.7733333333333333, \"Test_Set_Index\": 2, \"Test_Injection_Scenario\": \"MNAR3\", \"Baseline_Median\": 0.775, \"Base_Rate\": 0.7, \"Source_Model_Name\": \"rf_clf\", \"Dataset_Sequence_Number\": 2, \"Dataset_Name_With_Model_Name\": \"german (rf_clf)\"}, {\"Dataset_Name\": \"german\", \"Null_Imputer_Name\": \"miss_forest\", \"Evaluation_Scenario\": \"exp1_mnar3\", 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