igorcs commited on
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af83642
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1 Parent(s): b2706b5

Notebook to create the CI tables in latex

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  1. CriaTabelaLatex-CI.ipynb +67 -35
CriaTabelaLatex-CI.ipynb CHANGED
@@ -51,13 +51,14 @@
51
  " dic[key] += print_string\n",
52
  " return dic\n",
53
  "\n",
54
- "def printar_final(dic, modelo):\n",
55
- " string = f\"{modelo} \"\n",
56
- " for key in dic:\n",
57
- " string += f\"& {dic[key]} \"\n",
58
- " print(string[:-2])\n",
59
  "\n",
60
  "def filtrar_dfs(perf, boot, modelo, final=\"\"):\n",
 
61
  " filtro_perf = perf[perf['id'].str.startswith(modelo) & perf['id'].str.endswith(final)]\n",
62
  " filtro_boot = boot[boot['experiment_id'].str.startswith(modelo) & boot['experiment_id'].str.endswith(final)]\n",
63
  " dic = {'C1': {}, 'C2': {}, 'C3': {}, 'C4': {}, 'C5': {}}\n",
@@ -72,17 +73,31 @@
72
  " for key in dic:\n",
73
  " if key in row['experiment_id']:\n",
74
  " dic[key]['QWK_mean'] = row['QWK_mean']\n",
75
- " dic[key]['QWK_upper_95ci'] = row['QWK_upper_95ci']\n",
76
- " dic[key]['QWK_lower_95ci'] = row['QWK_lower_95ci']\n",
77
- " print(dic)\n",
78
  " string = \"\"\n",
79
  " for key in dic:\n",
80
- " string += f\"{dic[key]['QWK_lower_95ci']:.2f} & {dic[key]['QWK_upper_95ci']:.2f} &\"\n",
81
- " print(f\"{modelo}-{final} & {string[:-2]}\")\n",
82
  "\n",
83
- "modelos = [(\"jbcs2025_mbert_base\", \"\"), (\"jbcs2025_bertimbau-large\", \"\"), (\"jbcs2025_bertimbau_base-\", \"\"), (\"jbcs2025_phi35-balanced\", \"essay_only\"),\n",
84
- " (\"jbcs2025_phi4-balanced\", \"essay_only\"), (\"jbcs2025_llama31_8b-balanced\", \"essay_only\"), (\"jbcs2025_Phi-3.5-mini-instruct\", \"full_context\"),\n",
85
- " (\"jbcs2025_phi-4-phi4\", \"full_context\"), (\"jbcs2025_Llama-3.1-8B-llama31\", \"full_context\")]\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
86
  "for (modelo, final) in modelos:\n",
87
  " filtrar_dfs(df, df1, modelo, final=final)"
88
  ],
@@ -91,7 +106,7 @@
91
  "base_uri": "https://localhost:8080/"
92
  },
93
  "id": "2_4fdVNNARGi",
94
- "outputId": "61516f30-f453-4069-b51a-b1df21126dd8"
95
  },
96
  "execution_count": null,
97
  "outputs": [
@@ -99,24 +114,19 @@
99
  "output_type": "stream",
100
  "name": "stdout",
101
  "text": [
102
- "{'C1': {'Micro_F1': 0.5362318840579711, 'Weighted_F1': 0.518137852459147, 'QWK': 0.4505920783993467, 'QWK_mean': 0.4469509804733242, 'QWK_upper_95ci': 0.5646932058882819, 'QWK_lower_95ci': 0.3273452629017379}, 'C2': {'Micro_F1': 0.3623188405797101, 'Weighted_F1': 0.3182603637608693, 'QWK': 0.1449814126394052, 'QWK_mean': 0.1443789019267171, 'QWK_upper_95ci': 0.285562229212569, 'QWK_lower_95ci': 0.0019340927528358}, 'C3': {'Micro_F1': 0.2318840579710145, 'Weighted_F1': 0.1613437300185681, 'QWK': 0.2641316569559441, 'QWK_mean': 0.2618424087718754, 'QWK_upper_95ci': 0.4199083537960727, 'QWK_lower_95ci': 0.1021015072944112}, 'C4': {'Micro_F1': 0.5, 'Weighted_F1': 0.4091229461257213, 'QWK': 0.2817080943275972, 'QWK_mean': 0.2763369862905251, 'QWK_upper_95ci': 0.4236573729369323, 'QWK_lower_95ci': 0.1182640144665461}, 'C5': {'Micro_F1': 0.4057971014492754, 'Weighted_F1': 0.3828592483419307, 'QWK': 0.5735521338377112, 'QWK_mean': 0.5708670849334949, 'QWK_upper_95ci': 0.6715233618747556, 'QWK_lower_95ci': 0.4597349333381409}}\n",
103
- "jbcs2025_mbert_base- & 0.33 & 0.56 &0.00 & 0.29 &0.10 & 0.42 &0.12 & 0.42 &0.46 & 0.67\n",
104
- "{'C1': {'Micro_F1': 0.7028985507246377, 'Weighted_F1': 0.7092465463174845, 'QWK': 0.7080553295362083, 'QWK_mean': 0.7077306949563342, 'QWK_upper_95ci': 0.7925777763902052, 'QWK_lower_95ci': 0.6143517863619989}, 'C2': {'Micro_F1': 0.3985507246376811, 'Weighted_F1': 0.3825485695613519, 'QWK': 0.4242242542347474, 'QWK_mean': 0.421524005294385, 'QWK_upper_95ci': 0.5651890498796338, 'QWK_lower_95ci': 0.2688782617235809}, 'C3': {'Micro_F1': 0.2898550724637681, 'Weighted_F1': 0.2482589892502322, 'QWK': 0.2693773824650572, 'QWK_mean': 0.2667552963854427, 'QWK_upper_95ci': 0.3967413784980497, 'QWK_lower_95ci': 0.1308675494473104}, 'C4': {'Micro_F1': 0.5434782608695652, 'Weighted_F1': 0.5677143444488495, 'QWK': 0.5718939041414612, 'QWK_mean': 0.5689578701688437, 'QWK_upper_95ci': 0.6680998143802181, 'QWK_lower_95ci': 0.4614869526110953}, 'C5': {'Micro_F1': 0.3623188405797101, 'Weighted_F1': 0.3520852841017614, 'QWK': 0.4785241515279538, 'QWK_mean': 0.4765829843065011, 'QWK_upper_95ci': 0.5987775413884535, 'QWK_lower_95ci': 0.3497986919778412}}\n",
105
- "jbcs2025_bertimbau-large- & 0.61 & 0.79 &0.27 & 0.57 &0.13 & 0.40 &0.46 & 0.67 &0.35 & 0.60\n",
106
- "{'C1': {'Micro_F1': 0.644927536231884, 'Weighted_F1': 0.6413771139990777, 'QWK': 0.6742722265932337, 'QWK_mean': 0.6726698793738349, 'QWK_upper_95ci': 0.7587417074110893, 'QWK_lower_95ci': 0.5786694701512399}, 'C2': {'Micro_F1': 0.3768115942028985, 'Weighted_F1': 0.3822623600358202, 'QWK': 0.4220445459737294, 'QWK_mean': 0.4181918820477945, 'QWK_upper_95ci': 0.5466018786751335, 'QWK_lower_95ci': 0.2775986575464428}, 'C3': {'Micro_F1': 0.3768115942028985, 'Weighted_F1': 0.3338029470113428, 'QWK': 0.3452054794520547, 'QWK_mean': 0.3442546344979946, 'QWK_upper_95ci': 0.4793389519462236, 'QWK_lower_95ci': 0.2084844703358946}, 'C4': {'Micro_F1': 0.644927536231884, 'Weighted_F1': 0.6545879036165807, 'QWK': 0.6258134490238612, 'QWK_mean': 0.623338029229533, 'QWK_upper_95ci': 0.7250524714839471, 'QWK_lower_95ci': 0.5110704244499952}, 'C5': {'Micro_F1': 0.3188405797101449, 'Weighted_F1': 0.2580841303820561, 'QWK': 0.476219483623073, 'QWK_mean': 0.4734979990112671, 'QWK_upper_95ci': 0.5947975929869902, 'QWK_lower_95ci': 0.3401973117894254}}\n",
107
- "jbcs2025_bertimbau_base-- & 0.58 & 0.76 &0.28 & 0.55 &0.21 & 0.48 &0.51 & 0.73 &0.34 & 0.59\n",
108
- "{'C1': {'Micro_F1': 0.6594202898550725, 'Weighted_F1': 0.6574796332262731, 'QWK': 0.6638104838709677, 'QWK_mean': 0.6616991580966015, 'QWK_upper_95ci': 0.7606224171519745, 'QWK_lower_95ci': 0.5557810707563048}, 'C2': {'Micro_F1': 0.3623188405797101, 'Weighted_F1': 0.3284848932013696, 'QWK': 0.3441810010847668, 'QWK_mean': 0.3409626834563599, 'QWK_upper_95ci': 0.4858406168704411, 'QWK_lower_95ci': 0.1852545870348362}, 'C3': {'Micro_F1': 0.3333333333333333, 'Weighted_F1': 0.3336611749101599, 'QWK': 0.2353562005277044, 'QWK_mean': 0.2335375020354423, 'QWK_upper_95ci': 0.3863527435429713, 'QWK_lower_95ci': 0.0729459707036765}, 'C4': {'Micro_F1': 0.572463768115942, 'Weighted_F1': 0.593693390260896, 'QWK': 0.5590312815338042, 'QWK_mean': 0.5562941450165412, 'QWK_upper_95ci': 0.6581198581878515, 'QWK_lower_95ci': 0.4492714610494979}, 'C5': {'Micro_F1': 0.3550724637681159, 'Weighted_F1': 0.3238493856342826, 'QWK': 0.5186813186813186, 'QWK_mean': 0.5153615140000185, 'QWK_upper_95ci': 0.6379857316052329, 'QWK_lower_95ci': 0.3832796853569664}}\n",
109
- "jbcs2025_phi35-balanced-essay_only & 0.56 & 0.76 &0.19 & 0.49 &0.07 & 0.39 &0.45 & 0.66 &0.38 & 0.64\n",
110
- "{'C1': {'Micro_F1': 0.6159420289855072, 'Weighted_F1': 0.6184188545576659, 'QWK': 0.6748637903107053, 'QWK_mean': 0.6728228615718327, 'QWK_upper_95ci': 0.7602092291188651, 'QWK_lower_95ci': 0.577372741501964}, 'C2': {'Micro_F1': 0.4565217391304347, 'Weighted_F1': 0.4331935675507009, 'QWK': 0.4118587182355762, 'QWK_mean': 0.408434856024602, 'QWK_upper_95ci': 0.5576720127443971, 'QWK_lower_95ci': 0.2487511341654639}, 'C3': {'Micro_F1': 0.3333333333333333, 'Weighted_F1': 0.2747500757119841, 'QWK': 0.2938151902453355, 'QWK_mean': 0.2922470743680929, 'QWK_upper_95ci': 0.4396449924380227, 'QWK_lower_95ci': 0.1358100563577918}, 'C4': {'Micro_F1': 0.7028985507246377, 'Weighted_F1': 0.6761155293109196, 'QWK': 0.579465541490858, 'QWK_mean': 0.5787732176948, 'QWK_upper_95ci': 0.6877064220183486, 'QWK_lower_95ci': 0.4624229582708449}, 'C5': {'Micro_F1': 0.3115942028985507, 'Weighted_F1': 0.2439300683587842, 'QWK': 0.4574405346962846, 'QWK_mean': 0.4543289424889599, 'QWK_upper_95ci': 0.5775760593701588, 'QWK_lower_95ci': 0.3179854281772712}}\n",
111
- "jbcs2025_phi4-balanced-essay_only & 0.58 & 0.76 &0.25 & 0.56 &0.14 & 0.44 &0.46 & 0.69 &0.32 & 0.58\n",
112
- "{'C1': {'Micro_F1': 0.6884057971014492, 'Weighted_F1': 0.6710623362797277, 'QWK': 0.6308698236576183, 'QWK_mean': 0.6295464847933743, 'QWK_upper_95ci': 0.7354045431661362, 'QWK_lower_95ci': 0.5147318788303388}, 'C2': {'Micro_F1': 0.3478260869565217, 'Weighted_F1': 0.3205156603404325, 'QWK': 0.3259325044404972, 'QWK_mean': 0.3241019129105552, 'QWK_upper_95ci': 0.4686752350465797, 'QWK_lower_95ci': 0.1789150070543026}, 'C3': {'Micro_F1': 0.4202898550724637, 'Weighted_F1': 0.3911901539778777, 'QWK': 0.3788697141351601, 'QWK_mean': 0.3764592992419188, 'QWK_upper_95ci': 0.5044785095617992, 'QWK_lower_95ci': 0.2482348708257247}, 'C4': {'Micro_F1': 0.6521739130434783, 'Weighted_F1': 0.6518531929244537, 'QWK': 0.5181762168823167, 'QWK_mean': 0.5159162816272473, 'QWK_upper_95ci': 0.6375067485990894, 'QWK_lower_95ci': 0.3896899614645441}, 'C5': {'Micro_F1': 0.2681159420289855, 'Weighted_F1': 0.2546847901101209, 'QWK': 0.3773307964120685, 'QWK_mean': 0.3747412056981141, 'QWK_upper_95ci': 0.5091521322586843, 'QWK_lower_95ci': 0.23148683225562}}\n",
113
- "jbcs2025_llama31_8b-balanced-essay_only & 0.51 & 0.74 &0.18 & 0.47 &0.25 & 0.50 &0.39 & 0.64 &0.23 & 0.51\n",
114
- "{'C1': {'Micro_F1': 0.217391304347826, 'Weighted_F1': 0.1687997907859967, 'QWK': 0.2897608544230323, 'QWK_mean': 0.2879013220800692, 'QWK_upper_95ci': 0.4180318752745349, 'QWK_lower_95ci': 0.1492478126231326}, 'C2': {'Micro_F1': 0.217391304347826, 'Weighted_F1': 0.1687997907859967, 'QWK': 0.2897608544230323, 'QWK_mean': 0.2879013220800692, 'QWK_upper_95ci': 0.4180318752745349, 'QWK_lower_95ci': 0.1492478126231326}, 'C3': {'Micro_F1': 0.5217391304347826, 'Weighted_F1': 0.5157532058528155, 'QWK': 0.68215073742887, 'QWK_mean': 0.6784054100778548, 'QWK_upper_95ci': 0.7665213161461424, 'QWK_lower_95ci': 0.5789753729855492}, 'C4': {'Micro_F1': 0.6594202898550725, 'Weighted_F1': 0.6261409273457467, 'QWK': 0.4689490445859872, 'QWK_mean': 0.4684319359888135, 'QWK_upper_95ci': 0.5818181818181818, 'QWK_lower_95ci': 0.354099864489924}, 'C5': {'Micro_F1': 0.3333333333333333, 'Weighted_F1': 0.3008136591917735, 'QWK': 0.4890643389564535, 'QWK_mean': 0.4866040546746337, 'QWK_upper_95ci': 0.6122719854533736, 'QWK_lower_95ci': 0.3491336242147614}}\n",
115
- "jbcs2025_Phi-3.5-mini-instruct-full_context & 0.15 & 0.42 &0.15 & 0.42 &0.58 & 0.77 &0.35 & 0.58 &0.35 & 0.61\n",
116
- "{'C1': {'Micro_F1': 0.6376811594202898, 'Weighted_F1': 0.6354643426463825, 'QWK': 0.642614752634399, 'QWK_mean': 0.6417455296636442, 'QWK_upper_95ci': 0.7221995154900485, 'QWK_lower_95ci': 0.5534959702303135}, 'C2': {'Micro_F1': 0.4420289855072464, 'Weighted_F1': 0.3727858293075684, 'QWK': 0.4587224505042959, 'QWK_mean': 0.4544687530156993, 'QWK_upper_95ci': 0.5738800252215724, 'QWK_lower_95ci': 0.325822690895961}, 'C3': {'Micro_F1': 0.4565217391304347, 'Weighted_F1': 0.4145905872632278, 'QWK': 0.6404105501849862, 'QWK_mean': 0.6368017049735983, 'QWK_upper_95ci': 0.7283785107281081, 'QWK_lower_95ci': 0.5336049056396244}, 'C4': {'Micro_F1': 0.7318840579710145, 'Weighted_F1': 0.6872463768115942, 'QWK': 0.5601593625498008, 'QWK_mean': 0.5622525366238156, 'QWK_upper_95ci': 0.6667808258369575, 'QWK_lower_95ci': 0.4570995751571452}, 'C5': {'Micro_F1': 0.3623188405797101, 'Weighted_F1': 0.3672380004905022, 'QWK': 0.5073723420766724, 'QWK_mean': 0.5024746726275736, 'QWK_upper_95ci': 0.6317146430085705, 'QWK_lower_95ci': 0.3566272536367714}}\n",
117
- "jbcs2025_phi-4-phi4-full_context & 0.55 & 0.72 &0.33 & 0.57 &0.53 & 0.73 &0.46 & 0.67 &0.36 & 0.63\n",
118
- "{'C1': {'Micro_F1': 0.6811594202898551, 'Weighted_F1': 0.655233980808711, 'QWK': 0.6525276002324231, 'QWK_mean': 0.6513882888286967, 'QWK_upper_95ci': 0.745725728701958, 'QWK_lower_95ci': 0.5488248441997104}, 'C2': {'Micro_F1': 0.3768115942028985, 'Weighted_F1': 0.3372856483605482, 'QWK': 0.3204971475142625, 'QWK_mean': 0.3171723261367537, 'QWK_upper_95ci': 0.4365708703636233, 'QWK_lower_95ci': 0.1914638191605268}, 'C3': {'Micro_F1': 0.3550724637681159, 'Weighted_F1': 0.3410931961351028, 'QWK': 0.3373259954677889, 'QWK_mean': 0.3340102348845638, 'QWK_upper_95ci': 0.4823077722195361, 'QWK_lower_95ci': 0.1776691149012335}, 'C4': {'Micro_F1': 0.5869565217391305, 'Weighted_F1': 0.5764511923932214, 'QWK': 0.4831460674157303, 'QWK_mean': 0.4792630651774341, 'QWK_upper_95ci': 0.6020372960585834, 'QWK_lower_95ci': 0.3507696538121665}, 'C5': {'Micro_F1': 0.2391304347826087, 'Weighted_F1': 0.2215770027405685, 'QWK': 0.1835841058368659, 'QWK_mean': 0.1818097905579081, 'QWK_upper_95ci': 0.3405974422544362, 'QWK_lower_95ci': 0.012417733580868}}\n",
119
- "jbcs2025_Llama-3.1-8B-llama31-full_context & 0.55 & 0.75 &0.19 & 0.44 &0.18 & 0.48 &0.35 & 0.60 &0.01 & 0.34\n"
120
  ]
121
  }
122
  ]
@@ -124,13 +134,35 @@
124
  {
125
  "cell_type": "code",
126
  "source": [
127
- "modelos = ['jbcs2025_bertimbau_base-']"
 
 
128
  ],
129
  "metadata": {
130
- "id": "dhyTkpR2ARwp"
 
 
 
 
131
  },
132
  "execution_count": null,
133
- "outputs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
134
  },
135
  {
136
  "cell_type": "code",
 
51
  " dic[key] += print_string\n",
52
  " return dic\n",
53
  "\n",
54
+ "# def printar_final(dic, modelo):\n",
55
+ "# string = f\"{modelo} \"\n",
56
+ "# for key in dic:\n",
57
+ "# string += f\"& {dic[key]} \"\n",
58
+ "# print(f\"{string[:-2]} \\\\\\\\\")\n",
59
  "\n",
60
  "def filtrar_dfs(perf, boot, modelo, final=\"\"):\n",
61
+ " global SELECT\n",
62
  " filtro_perf = perf[perf['id'].str.startswith(modelo) & perf['id'].str.endswith(final)]\n",
63
  " filtro_boot = boot[boot['experiment_id'].str.startswith(modelo) & boot['experiment_id'].str.endswith(final)]\n",
64
  " dic = {'C1': {}, 'C2': {}, 'C3': {}, 'C4': {}, 'C5': {}}\n",
 
73
  " for key in dic:\n",
74
  " if key in row['experiment_id']:\n",
75
  " dic[key]['QWK_mean'] = row['QWK_mean']\n",
76
+ " dic[key][SELECT[1]] = row[SELECT[1]]\n",
77
+ " dic[key][SELECT[0]] = row[SELECT[0]]\n",
78
+ " #print(dic)\n",
79
  " string = \"\"\n",
80
  " for key in dic:\n",
81
+ " string += f\"{dic[key][SELECT[0]]:.2f} & {dic[key][SELECT[1]]:.2f} &\"\n",
82
+ " print(f\"{modelo}-{final} & {string[:-2]} \\\\\\\\\")\n",
83
  "\n",
84
+ "modelos = [\n",
85
+ " #Encoders\n",
86
+ " (\"jbcs2025_mbert_base\", \"\"), (\"jbcs2025_bertimbau_base-\", \"\"), (\"jbcs2025_bertimbau-large\", \"\"),\n",
87
+ " #Decoders\n",
88
+ " #(\"jbcs2025_llama31_8b-balanced\", \"essay_only\"), (\"jbcs2025_phi35-balanced\", \"essay_only\"), (\"jbcs2025_phi4-balanced\", \"essay_only\"),\n",
89
+ " # (\"jbcs2025_Llama-3.1-8B-llama31\", \"full_context\"), (\"jbcs2025_Phi-3.5-mini-instruct\", \"full_context\"), (\"jbcs2025_phi-4-phi4\", \"full_context\"),\n",
90
+ " #Sabias\n",
91
+ " (\"sabia-3-zero-shot\", \"essay_only\"), (\"sabia-3-zero-shot\", \"full_context\"),\n",
92
+ " #(\"sabia-3-grader-zero-shot\", \"essay_only\"),\n",
93
+ " (\"sabia-3-grader-zero-shot\", \"full_context\"),\n",
94
+ " #Gpts\n",
95
+ " (\"gpt-4o-2024-11-20-zero-shot\", \"essay_only\"), (\"gpt-4o-2024-11-20-zero-shot\", \"full_context\"),\n",
96
+ " (\"gpt-4o-2024-11-20-grader-zero-shot\", \"essay_only\"), (\"gpt-4o-2024-11-20-grader-zero-shot\", \"full_context\"),\n",
97
+ " #Deepseeks\n",
98
+ " (\"deepseek-reasoner-zero-shot-\", \"essay_only\"), (\"deepseek-reasoner-zero-shot-\", \"full_context\"),\n",
99
+ " (\"Deepseek-reasoner-grader-zero-shot-\", \"essay_only\") ]\n",
100
+ "SELECT = [\"QWK_lower_95ci\", \"QWK_upper_95ci\"]\n",
101
  "for (modelo, final) in modelos:\n",
102
  " filtrar_dfs(df, df1, modelo, final=final)"
103
  ],
 
106
  "base_uri": "https://localhost:8080/"
107
  },
108
  "id": "2_4fdVNNARGi",
109
+ "outputId": "6e6b6032-97e7-495d-993c-9f5c8a8f49d3"
110
  },
111
  "execution_count": null,
112
  "outputs": [
 
114
  "output_type": "stream",
115
  "name": "stdout",
116
  "text": [
117
+ "jbcs2025_mbert_base- & 0.33 & 0.56 &0.00 & 0.29 &0.10 & 0.42 &0.12 & 0.42 &0.46 & 0.67 \\\\\n",
118
+ "jbcs2025_bertimbau_base-- & 0.58 & 0.76 &0.28 & 0.55 &0.21 & 0.48 &0.51 & 0.73 &0.34 & 0.59 \\\\\n",
119
+ "jbcs2025_bertimbau-large- & 0.61 & 0.79 &0.27 & 0.57 &0.13 & 0.40 &0.46 & 0.67 &0.35 & 0.60 \\\\\n",
120
+ "sabia-3-zero-shot-essay_only & 0.61 & 0.75 &-0.03 & 0.06 &0.16 & 0.43 &0.39 & 0.62 &0.37 & 0.63 \\\\\n",
121
+ "sabia-3-zero-shot-full_context & 0.47 & 0.66 &0.31 & 0.60 &0.32 & 0.56 &0.23 & 0.52 &0.40 & 0.65 \\\\\n",
122
+ "sabia-3-grader-zero-shot-full_context & 0.40 & 0.58 &0.35 & 0.62 &0.42 & 0.65 &0.39 & 0.64 &0.34 & 0.63 \\\\\n",
123
+ "gpt-4o-2024-11-20-zero-shot-essay_only & 0.43 & 0.58 &0.05 & 0.34 &0.24 & 0.51 &0.40 & 0.60 &0.41 & 0.67 \\\\\n",
124
+ "gpt-4o-2024-11-20-zero-shot-full_context & 0.39 & 0.56 &0.38 & 0.63 &0.42 & 0.63 &0.38 & 0.58 &0.20 & 0.49 \\\\\n",
125
+ "gpt-4o-2024-11-20-grader-zero-shot-essay_only & 0.40 & 0.56 &0.15 & 0.42 &0.15 & 0.41 &0.40 & 0.60 &0.41 & 0.66 \\\\\n",
126
+ "gpt-4o-2024-11-20-grader-zero-shot-full_context & 0.47 & 0.63 &0.43 & 0.68 &0.32 & 0.56 &0.39 & 0.60 &0.33 & 0.61 \\\\\n",
127
+ "deepseek-reasoner-zero-shot--essay_only & 0.27 & 0.43 &-0.14 & 0.11 &0.23 & 0.53 &0.41 & 0.61 &0.41 & 0.67 \\\\\n",
128
+ "deepseek-reasoner-zero-shot--full_context & 0.27 & 0.43 &0.30 & 0.53 &0.65 & 0.80 &0.39 & 0.58 &0.45 & 0.69 \\\\\n",
129
+ "Deepseek-reasoner-grader-zero-shot--essay_only & 0.36 & 0.51 &-0.01 & 0.08 &0.23 & 0.54 &0.37 & 0.56 &0.40 & 0.68 \\\\\n"
 
 
 
 
 
130
  ]
131
  }
132
  ]
 
134
  {
135
  "cell_type": "code",
136
  "source": [
137
+ "SELECT = [\"Macro_F1_lower_95ci\", \"Macro_F1_upper_95ci\"]\n",
138
+ "for (modelo, final) in modelos:\n",
139
+ " filtrar_dfs(df, df1, modelo, final=final)"
140
  ],
141
  "metadata": {
142
+ "id": "dhyTkpR2ARwp",
143
+ "colab": {
144
+ "base_uri": "https://localhost:8080/"
145
+ },
146
+ "outputId": "68fd310f-a620-4e32-ea7a-b1855c592f3b"
147
  },
148
  "execution_count": null,
149
+ "outputs": [
150
+ {
151
+ "output_type": "stream",
152
+ "name": "stdout",
153
+ "text": [
154
+ "jbcs2025_mbert_base- & 0.26 & 0.46 &0.16 & 0.33 &0.11 & 0.23 &0.13 & 0.29 &0.25 & 0.40 \\\\\n",
155
+ "jbcs2025_bertimbau_base-- & 0.36 & 0.62 &0.22 & 0.40 &0.20 & 0.37 &0.29 & 0.59 &0.15 & 0.27 \\\\\n",
156
+ "jbcs2025_bertimbau-large- & 0.39 & 0.66 &0.21 & 0.37 &0.14 & 0.29 &0.23 & 0.43 &0.23 & 0.41 \\\\\n",
157
+ "jbcs2025_llama31_8b-balanced-essay_only & 0.37 & 0.64 &0.16 & 0.29 &0.21 & 0.38 &0.27 & 0.52 &0.16 & 0.29 \\\\\n",
158
+ "jbcs2025_phi35-balanced-essay_only & 0.42 & 0.70 &0.16 & 0.37 &0.20 & 0.38 &0.24 & 0.48 &0.22 & 0.34 \\\\\n",
159
+ "jbcs2025_phi4-balanced-essay_only & 0.39 & 0.65 &0.23 & 0.39 &0.15 & 0.31 &0.23 & 0.40 &0.14 & 0.25 \\\\\n",
160
+ "jbcs2025_Llama-3.1-8B-llama31-full_context & 0.35 & 0.56 &0.17 & 0.32 &0.19 & 0.34 &0.23 & 0.46 &0.14 & 0.35 \\\\\n",
161
+ "jbcs2025_Phi-3.5-mini-instruct-full_context & 0.09 & 0.18 &0.09 & 0.18 &0.33 & 0.56 &0.21 & 0.43 &0.19 & 0.33 \\\\\n",
162
+ "jbcs2025_phi-4-phi4-full_context & 0.30 & 0.53 &0.18 & 0.31 &0.22 & 0.35 &0.24 & 0.40 &0.25 & 0.45 \\\\\n"
163
+ ]
164
+ }
165
+ ]
166
  },
167
  {
168
  "cell_type": "code",