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@georgerichardson
Created May 26, 2020 16:13
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sdg_cordis_verification.ipynb
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{
"cells": [
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-21T11:08:48.076148Z",
"start_time": "2020-05-21T11:08:46.808983Z"
},
"trusted": true
},
"cell_type": "code",
"source": "%run ../notebook_preamble.ipy\n\nimport os\nimport seaborn as sns\nfrom sklearn.metrics import precision_recall_fscore_support\n\nfrom sdg_mapping.cordis import load_cordis_projects, load_cordis_project_sdgs\nfrom sdg_mapping.cordis.cordis_utils import FRAMEWORK_PROGRAMMES\nfrom sdg_mapping.utils.sdg_utils import sdg_hex_color_codes, sdg_names",
"execution_count": 1,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Import CORDIS"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-21T13:00:31.425659Z",
"start_time": "2020-05-21T13:00:28.808664Z"
},
"trusted": true
},
"cell_type": "code",
"source": "projects = []\nproject_sdgs = []\nproject_sdg_probs = []\n\nfor fp in ['fp6', 'fp7', 'h2020']:\n projects.append(load_cordis_projects(fp).set_index('rcn'))\n project_sdgs.append(load_cordis_project_sdgs(fp, 'strict_label').set_index('rcn'))\n project_sdg_probs.append(load_cordis_project_sdgs(fp, 'probability').set_index('rcn'))\n \nprojects = pd.concat(projects)\nproject_sdgs = pd.concat(project_sdgs)\nproject_sdg_probs = pd.concat(project_sdg_probs)",
"execution_count": 131,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Import Annotated"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-26T13:41:39.832782Z",
"start_time": "2020-05-26T13:41:38.081793Z"
},
"trusted": true
},
"cell_type": "code",
"source": "annotated_dir = f'{data_path}/interim/doccano/results'\nlabel_dir = f'{data_path}/interim/doccano/results/labels'",
"execution_count": 158,
"outputs": []
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-26T13:43:16.879193Z",
"start_time": "2020-05-26T13:43:15.412197Z"
},
"trusted": true
},
"cell_type": "code",
"source": "dfs = {}\nfor file in os.listdir(annotated_dir):\n if '.csv' in file:\n fin = os.path.join(annotated_dir, file)\n df = pd.read_csv(fin)\n n = int(fin.split('_')[-1].split('.')[0][3:])\n\n label_path = os.path.join(label_dir, f'labels_sdg{n}.json')\n labels = pd.read_json(label_path)\n label_map = {i: k for i, k in zip(labels['id'], labels['suffix_key'])}\n df['label'] = df['label'].map(label_map)\n df['label'] = df['label'].map({'y': 1, 'n': 0})\n\n df = df.rename(columns={'meta.rcn': 'rcn'})\n df = df.set_index('rcn')\n\n dfs[n] = df",
"execution_count": 163,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Calculate Classification Scores"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-26T13:43:20.512493Z",
"start_time": "2020-05-26T13:43:20.198038Z"
},
"trusted": true
},
"cell_type": "code",
"source": "scores = []\n\nfor sdg in range(1, 17):\n df_score = project_sdgs.merge(dfs[sdg], left_index=True, right_index=True, how='right')\n score = precision_recall_fscore_support(df_score['label'], df_score[sdg])\n scores.append(np.array(score).T.ravel())",
"execution_count": 164,
"outputs": []
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-26T13:43:20.603747Z",
"start_time": "2020-05-26T13:43:20.523063Z"
},
"trusted": true
},
"cell_type": "code",
"source": "score_df = pd.DataFrame(np.array(scores))\nscore_df.columns =[\n '0_precision', '0_recall', '0_f1', '0_support',\n '1_precision', '1_recall', '1_f1', '1_support',\n]\nscore_df.index = range(1,17)",
"execution_count": 165,
"outputs": []
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-26T13:43:23.502561Z",
"start_time": "2020-05-26T13:43:21.478723Z"
},
"trusted": true
},
"cell_type": "code",
"source": "fig, ax = plt.subplots(figsize=(10,8))\n_score_df = score_df[[c for c in score_df.columns if 'support' not in c]]\n_score_df = _score_df.sort_values(by='1_f1', ascending=False)\n_score_df.index = [sdg_names()[i] for i in _score_df.index.values]\nsns.heatmap(_score_df, fmt='.2f', annot=True, cmap='RdBu')\nax.axvline(3, color='#ffffff', linewidth=3)\nplt.tight_layout()\nplt.savefig('../../reports/eda/figures/cordis_precision_recall_f1_heatmap.png', dpi=300);",
"execution_count": 166,
"outputs": [
{
"data": {
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\n",
"text/plain": "<Figure size 720x576 with 2 Axes>"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Based on F1 scores for positive samples:\n\n- Performing well: 2, 3, 6, 7, 11\n- Performing moderately: 8, 16\n- Performing badly: 1, 4, 5, 9, 10, 12, 13, 14, 15"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Print out titles of misclassified projects (FNs and FPs)"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2020-05-21T13:06:16.942613Z",
"start_time": "2020-05-21T13:06:16.778297Z"
},
"scrolled": false,
"trusted": true
},
"cell_type": "code",
"source": "scores = []\n\nfor sdg in range(1, 17):\n print('===', sdg_names()[sdg], '===')\n _df = project_sdgs.merge(dfs[sdg], left_index=True, right_index=True, how='right')\n _df['prob'] = project_sdg_probs.loc[_df.index.values][sdg]\n df_fp = _df[(_df[sdg] == 1) & (_df['label'] == 0)]\n df_fn = _df[(_df[sdg] == 0) & (_df['label'] == 1)]\n print('False Positives')\n for v, s in zip(df_fp['text'].values[:5], df_fp['prob'].values[:5]):\n print(f'> {s:.2f}', v.split('=== ')[1])\n print('\\nFalse Negatives')\n if df_fn.shape[0] > 0:\n for v, s in zip(df_fn['text'].values[:5], df_fn['prob'].values[:5]):\n print(f'> {s:.2f}', v.split('=== ')[1])\n print('')",
"execution_count": 151,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "=== 1. No Poverty ===\nFalse Positives\n> 0.73 FUNCTIONING OF THE LOCAL PRODUCTION SYSTEMS IN THE CONDITIONS OF ECONOMIC CRISIS (COMPARATIVE ANALYSIS AND BENCHMARKING FOR THE EU AND BEYOND) \n> 0.75 An S&T cooperation initiative to improve the linkages between Canada and the European research area \n> 0.71 Enlargement and EU Funded projects : The case of Turkey \n> 0.68 Taming the Leviathan? Legal and Political Accountability in 'Post-Crisis' EU Economic Governance \n> 0.66 Consensual Non-Monogamies and Social Movements: A Comparative Study of Activism in Portugal and the UK \n\nFalse Negatives\n\n=== 2. Zero Hunger ===\nFalse Positives\n> 0.72 Animal feed certification instrument and procedure to guarantee the quality of meat and dairy products through automatic, simple and rapid DNA barcode method based on tubulin-based polymorphism (TBP) \n> 0.73 Microbiota-host interactions for integrative metabolic health reprogramming \n> 0.88 Food Labelling to Advance Better Education for Life \n> 0.91 A thematic network to design the penetration PAth of Non-food Agricultural Crops into European Agriculture \n\nFalse Negatives\n> 0.05 FLOODWATER RECHARGE OF ALLUVIAL AQUIFERS IN DRYLAND ENVIRONMENTS \n\n=== 3. Good Health & Well-being ===\nFalse Positives\n> 0.59 Life without mitochondrion \n> 0.59 Pluripotency associated genes to de-differentiate neural cells into pluripotent cells \n> 0.74 Sustainable intensive pig and poultry production \n\nFalse Negatives\n> 0.46 Dynamic MOdelling of REsilience \n\n=== 4. Quality Education ===\nFalse Positives\n> 0.63 Setting-up of effective Technological Clinics to address real knowledge needs of Surface Transport industry \n> 0.64 Possibilities and limits, challenges and obstacles of transferring CEE EU pre-accession best practices and experience to Moldova’s and Georgia's pre-accession process \n> 0.63 Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations \n> 0.62 The Predictive Visual Brain in Autism Spectrum Disorders \n> 0.62 A Hungarian Night for Researchers \n\nFalse Negatives\n\n=== 5. Gender Equality ===\nFalse Positives\n> 0.58 Genetics of human hair form diversity \n> 0.62 Antidepressants during pregnancy: underlying mechanisms associated with neurodevelopmental outcome \n> 0.60 Sub-clinical hypothyroidism and obstetric Outcomes \n> 0.58 DNA MEthylation for HPV-related disease among women living with HIV \n> 0.64 THE GENETIC BASIS OF MATING BEHAVIOR: PHEROMONE COMMUNICATION IN NOCTUID MOTHS \n\nFalse Negatives\n\n=== 6. Clean Water & Sanitation ===\nFalse Positives\n> 0.70 Nonlinear studies of water flows with vorticity \n> 0.61 Influence of the Mediterranean Outflow on the Atlantic Ocean Climate: the role of local scale processes \n> 0.56 The first high-performance, all-in-one optical sensor technology to monitor the health of our oceans \n\nFalse Negatives\n> 0.12 Comparative Genomics and Environmental Diversity of Coral Associated Apicomplexa-Related Lineages \n\n=== 7. Affordable & Clean Energy ===\nFalse Positives\n> 0.68 Development of an advanced design and production process of High Temperature Ni-based Alloy Forgings \n\nFalse Negatives\n\n=== 8. Decent Work & Economic Growth ===\nFalse Positives\n> 0.66 Sustainable Mass Customization - Mass Customization for Sustainability \n> 0.64 Extended Collaborative integrated Life cycle supply chain Planning System \n> 0.60 Empowering the Service Economy with SLA-aware Infrastructures \n> 0.75 The Politics of Wealth Inequality and Mobility in the Twenty-First Century \n> 0.74 Advanced manufacturing and the transition of regional economies: institutions, social regulation and development in Apulia and Lower Silesia \n\nFalse Negatives\n\n=== 9. Industry, Innovation & Infrastructure ===\nFalse Positives\n> 0.66 Feasibility study for Multicursor - a non-contact sensor for curing quality control \n> 0.59 DyViTo: Dynamics in Vision and Touch - the look and feel of stuff \n> 0.59 Advanced material solutions for safer and long-lasting high capacity Cobalt Free Batteries for stationary storage applications \n> 0.60 HYBRID QUANTUM-DOT/TWO-DIMENSIONAL MATERIALS PHOTOVOLTAIC CELLS \n> 0.69 Introducing silicone to the world of additive manufacturing \n\nFalse Negatives\n\n=== 10. Reduced Inequalities ===\nFalse Positives\n> 0.52 Dynamic directed functional connectivity of causal learning \n> 0.52 DYnamic Roadmapping with application for EduCation and Training \n> 0.53 The Future of Preschoolers At Risk: The Mediational Role of Executive Functions on Effects of Maltreatment and Neglect on Pre-Academic Skills, and the Moderation of Family SES and Classroom Quality \n> 0.55 Molecular mechanism of empathy \n> 0.54 Social and Political Economics: Theory and Evidence \n\nFalse Negatives\n\n=== 11. Sustainable Cities & Communities ===\nFalse Positives\n> 0.57 EUROpean CITIzenship practice: political participation of transnational European senior migrants \n\nFalse Negatives\n\n=== 12. Responsible Consumption & Production ===\nFalse Positives\n> 0.58 Transparent and Flexible Li-Organic 3D Thin-Film Microbattery \n> 0.53 Advanced In-situ Techniques for the Development of Metal Oxide Nanostructures. \n> 0.55 Multifuctional polymeric materials though nanostructuring \n> 0.50 Cancerbiome: Characterization of the cancer-associated microbiome \n> 0.51 Mass Manufacture of MEAs Using High Speed Deposition Processes \n\nFalse Negatives\n> 0.22 Gentle Rice Separation Technology for Smallholder Milling \n> 0.20 Connecting expert enthusiasts with potential shoppers within a shared economy model \n\n=== 13. Climate Action ===\nFalse Positives\n> 0.64 POLicy for NAtural RESouces \n> 0.84 Commercial introduction of the first Airborne Wind Energy system: Renewable energy at costs below fully depreciated coal fired power plants \n> 0.65 Aerodynamic Testing of Helicopter Novel Air Intakes \n> 0.65 FUEL CELL STACK ASSEMBLY AND DIAGNOSTICS \n> 0.65 Knowledge for Ignition, Acoustics and Instabilities \n\nFalse Negatives\n\n=== 14. Life Below Water ===\nFalse Positives\n> 0.61 Development of automated technology for large scale land based production of lobster juveniles and lobster to market size, including development of robotic feeding and imaging control system \n> 0.81 The first high-precision Computer-Controlled Collarbone Cutter for Whitefish \n> 0.65 RESEARCH TO EVALUATE THE TECHNOLOGICAL APPLICATION OF SWIRLING JETS IN THE FIELDS OF SEABED EXCAVATION, VESSEL PROPULSION AND UNDERWATER CLEANING \n> 0.77 Parasite evolution on islands: Socotra reptiles and their parasites as a model study \n> 0.72 Design for Ship Safety in Extreme Seas \n\nFalse Negatives\n\n=== 15. Life on Land ===\nFalse Positives\n> 0.76 Plant adaptations to unpredictable attack by dynamic insect communities \n> 0.70 Evolution of gene regulatory networks in animal development \n> 0.72 Development, integration and dissemination of animal-based welfare indicators, including pain, in commercially important husbandry species, with special emphasis on small ruminants, equidae & turkeys \n> 0.63 Evolution of Physiology: The link between Earth and Life \n> 0.63 Tracing the evolution of alpha-proteaobacterial genomes \n\nFalse Negatives\n\n=== 16. Peace, Justice & Strong Institutions ===\nFalse Positives\n> 0.55 The Representation of External Threats in the Configuration of Spanish Power in the Philippines (1600-1800) \n> 0.56 Being a politically active emigrant. The political structuring of the French and Italians abroad: a comparative analysis of mobile citizens \n> 0.61 GIs and ‘Segnorine’: an Entangled History of Post-war Sex Work (1943-1954) \n> 0.55 On European Solidarity \n> 0.57 Voices of Belonging: Minority Identities, Language and Education in the Netherlands \n\nFalse Negatives\n> 0.47 Modelling the PRocesses leading to Organised crime and TerrOrist Networks \n\n"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.6.5",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"gist": {
"id": "",
"data": {
"description": "sdg_cordis_verification.ipynb",
"public": true
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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