{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":59093,"databundleVersionId":7469972,"sourceType":"competition"},{"sourceId":2378330,"sourceType":"datasetVersion","datasetId":492658},{"sourceId":6129,"sourceType":"modelInstanceVersion","modelInstanceId":4597}],"dockerImageVersionId":30699,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# ***Dependencies and libraries***","metadata":{}},{"cell_type":"markdown","source":"## ***Dependencies***","metadata":{}},{"cell_type":"markdown","source":"## ***Libraries***","metadata":{}},{"cell_type":"code","source":"import polars as pl\nimport numpy as np\nfrom glob import glob\nimport os\nimport matplotlib.pyplot as plt \nimport seaborn as sns","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.702899Z","iopub.execute_input":"2024-05-24T09:00:49.703999Z","iopub.status.idle":"2024-05-24T09:00:49.708738Z","shell.execute_reply.started":"2024-05-24T09:00:49.703963Z","shell.execute_reply":"2024-05-24T09:00:49.707569Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# ***EDA***","metadata":{}},{"cell_type":"markdown","source":"## ***Define path and variables***","metadata":{}},{"cell_type":"code","source":"BASE_PATH = \"/kaggle/input/hms-harmful-brain-activity-classification\"\nSPEC_DIR = \"/tmp/dataset/hms-hbac\"\nos.makedirs(SPEC_DIR+'/train_spectrograms', exist_ok=True)\nos.makedirs(SPEC_DIR+'/test_spectrograms', exist_ok=True)","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.710811Z","iopub.execute_input":"2024-05-24T09:00:49.711145Z","iopub.status.idle":"2024-05-24T09:00:49.718858Z","shell.execute_reply.started":"2024-05-24T09:00:49.711118Z","shell.execute_reply":"2024-05-24T09:00:49.717807Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class config:\n    BATCH_SIZE = 64\n    FOLDS = 0\n    MODEL = \"tf_efficientnet_b0\"\n    SEED = 29","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.720162Z","iopub.execute_input":"2024-05-24T09:00:49.720552Z","iopub.status.idle":"2024-05-24T09:00:49.727022Z","shell.execute_reply.started":"2024-05-24T09:00:49.720526Z","shell.execute_reply":"2024-05-24T09:00:49.726090Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class_names = ['Seizure', 'LPD', 'GPD', 'LRDA','GRDA', 'Other']\nlabel2name = dict(enumerate(class_names))\nname2label = {v:k for k, v in label2name.items()}","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.729059Z","iopub.execute_input":"2024-05-24T09:00:49.729392Z","iopub.status.idle":"2024-05-24T09:00:49.736710Z","shell.execute_reply.started":"2024-05-24T09:00:49.729361Z","shell.execute_reply":"2024-05-24T09:00:49.735767Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## ***EDA (Exploratory Data Analysis)***","metadata":{}},{"cell_type":"markdown","source":"### ***Train data***","metadata":{}},{"cell_type":"markdown","source":"First we see how are distributed the train data.","metadata":{}},{"cell_type":"code","source":"df_train = pl.read_csv(f'{BASE_PATH}/train.csv')\ndf_train = df_train.with_columns(\n    eeg_path = f'{BASE_PATH}/train_eegs/' + pl.col('eeg_id').cast(pl.Utf8) + '.parquet',\n    spec_path = f'{BASE_PATH}/train_spectrograms/' + pl.col('spectrogram_id').cast(pl.Utf8) + '.parquet',\n    class_label = pl.col('expert_consensus').replace(name2label).str.to_integer()\n)\ndf_train.head(9)","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.738092Z","iopub.execute_input":"2024-05-24T09:00:49.738515Z","iopub.status.idle":"2024-05-24T09:00:49.803062Z","shell.execute_reply.started":"2024-05-24T09:00:49.738481Z","shell.execute_reply":"2024-05-24T09:00:49.802179Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![](data:image/png;base64,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)","metadata":{}},{"cell_type":"markdown","source":"### ***IDs***","metadata":{}},{"cell_type":"markdown","source":"Let's compare the total of registers with the number of IDs of each identifier we have (EEG, Spectogram, and patient)","metadata":{}},{"cell_type":"code","source":"df_train.shape[0]","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.804139Z","iopub.execute_input":"2024-05-24T09:00:49.804379Z","iopub.status.idle":"2024-05-24T09:00:49.810061Z","shell.execute_reply.started":"2024-05-24T09:00:49.804358Z","shell.execute_reply":"2024-05-24T09:00:49.809167Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.group_by('eeg_id').len().shape[0]","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.812618Z","iopub.execute_input":"2024-05-24T09:00:49.812957Z","iopub.status.idle":"2024-05-24T09:00:49.838270Z","shell.execute_reply.started":"2024-05-24T09:00:49.812932Z","shell.execute_reply":"2024-05-24T09:00:49.837379Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.group_by('spectrogram_id').len().shape[0]","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.839344Z","iopub.execute_input":"2024-05-24T09:00:49.839610Z","iopub.status.idle":"2024-05-24T09:00:49.853674Z","shell.execute_reply.started":"2024-05-24T09:00:49.839586Z","shell.execute_reply":"2024-05-24T09:00:49.852805Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.group_by('patient_id').len().shape[0]","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.854743Z","iopub.execute_input":"2024-05-24T09:00:49.855012Z","iopub.status.idle":"2024-05-24T09:00:49.867083Z","shell.execute_reply.started":"2024-05-24T09:00:49.854990Z","shell.execute_reply":"2024-05-24T09:00:49.866242Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"As it can be seem, there is quite less IDs in the dataset compare to the total registers. So, we can assume there exist a kind of overlapping between the ids. ","metadata":{}},{"cell_type":"markdown","source":"### ***Expert consensus***","metadata":{}},{"cell_type":"markdown","source":"The expert consensus is picked by the column (seizure_vote, lpd_vote, gpd_vote, lrda_vote, grda_vote, other_vote) with most votes.","metadata":{}},{"cell_type":"code","source":"import warnings\n\nwarnings.simplefilter(action='ignore', category=FutureWarning)\nwarnings.simplefilter(action='ignore', category=UserWarning)\n\nhisto = df_train.group_by('expert_consensus').len().sort('len', descending=True).to_pandas()\nplt.grid(True, linestyle='--', color='gray', linewidth=0.5, alpha=0.3)\nsns.histplot(data=histo,\n             x='expert_consensus',\n             weights='len',\n             discrete=True,\n             shrink=0.8,\n             hue='expert_consensus',\n             palette='pastel',\n             legend=False)\n\nplt.title('Histogram of expert consensus')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:49.868308Z","iopub.execute_input":"2024-05-24T09:00:49.868592Z","iopub.status.idle":"2024-05-24T09:00:50.312644Z","shell.execute_reply.started":"2024-05-24T09:00:49.868568Z","shell.execute_reply":"2024-05-24T09:00:50.311726Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Just to remember\n- LPD:  lateralized periodic discharges\n- LRDA: lateralized rhythmic delta activity\n- GPD:  generalized periodic discharges\n- GRDA: generalized rhythmic delta activity\n\nReference: [Hirsch et al. (2021)](https://www.acns.org/UserFiles/file/ACNSStandardizedCriticalCareEEGTerminology_rev2021.pdf)","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(8, 6))\nsns.heatmap(df_train.select('seizure_vote','lpd_vote','gpd_vote','lrda_vote','grda_vote','other_vote').corr(),\n            annot=True,\n            cmap='coolwarm',\n            fmt=\".2f\",\n            linewidths=0.5,\n            xticklabels=['seizure','lpd','gpd','lrda','grda','other'],\n            yticklabels=['seizure','lpd','gpd','lrda','grda','other'])\nplt.title('Correlation Matrix between experts\\' votes')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.314120Z","iopub.execute_input":"2024-05-24T09:00:50.314463Z","iopub.status.idle":"2024-05-24T09:00:50.737157Z","shell.execute_reply.started":"2024-05-24T09:00:50.314430Z","shell.execute_reply":"2024-05-24T09:00:50.736185Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### ***Probability of class***","metadata":{}},{"cell_type":"code","source":"target_votes = df_train.group_by('expert_consensus').len()\ntotal_votes = target_votes['len'].sum()\nmean_votes = target_votes.with_columns(pl.col('len')/total_votes)\n\nmean_votes","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.739133Z","iopub.execute_input":"2024-05-24T09:00:50.739481Z","iopub.status.idle":"2024-05-24T09:00:50.755226Z","shell.execute_reply.started":"2024-05-24T09:00:50.739448Z","shell.execute_reply":"2024-05-24T09:00:50.754156Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"lol = df_train.group_by('eeg_id').first()\ntarget_votes = lol.group_by('expert_consensus').len()\ntotal_votes = target_votes['len'].sum()\nmean_votes = target_votes.with_columns(pl.col('len')/total_votes)\n\nmean_votes","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.756515Z","iopub.execute_input":"2024-05-24T09:00:50.756862Z","iopub.status.idle":"2024-05-24T09:00:50.775960Z","shell.execute_reply.started":"2024-05-24T09:00:50.756835Z","shell.execute_reply":"2024-05-24T09:00:50.775045Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"lol = df_train.group_by('spectrogram_id').first()\ntarget_votes = lol.group_by('expert_consensus').len()\ntotal_votes = target_votes['len'].sum()\nmean_votes = target_votes.with_columns(pl.col('len')/total_votes)\n\nmean_votes","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.777293Z","iopub.execute_input":"2024-05-24T09:00:50.777678Z","iopub.status.idle":"2024-05-24T09:00:50.796464Z","shell.execute_reply.started":"2024-05-24T09:00:50.777625Z","shell.execute_reply":"2024-05-24T09:00:50.795663Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"lol = df_train.group_by('patient_id').first()\ntarget_votes = lol.group_by('expert_consensus').len()\ntotal_votes = target_votes['len'].sum()\nmean_votes = target_votes.with_columns(pl.col('len')/total_votes)\n\nmean_votes","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.799604Z","iopub.execute_input":"2024-05-24T09:00:50.799964Z","iopub.status.idle":"2024-05-24T09:00:50.813569Z","shell.execute_reply.started":"2024-05-24T09:00:50.799939Z","shell.execute_reply":"2024-05-24T09:00:50.812674Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### ***Spectrograms***","metadata":{}},{"cell_type":"code","source":"pqf_spec = pl.read_parquet('/kaggle/input/hms-harmful-brain-activity-classification/train_spectrograms/1000086677.parquet')\npqf_spec","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.814613Z","iopub.execute_input":"2024-05-24T09:00:50.814902Z","iopub.status.idle":"2024-05-24T09:00:50.898309Z","shell.execute_reply.started":"2024-05-24T09:00:50.814879Z","shell.execute_reply":"2024-05-24T09:00:50.897323Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![](https://raw.githubusercontent.com/cdeotte/Kaggle_Images/main/Jan-2024/brain9.png)","metadata":{}},{"cell_type":"markdown","source":"### ***EEG***","metadata":{}},{"cell_type":"code","source":"import polars as pl\n\npqf_eeg = pl.read_parquet('/kaggle/input/hms-harmful-brain-activity-classification/train_eegs/1002576868.parquet')\npqf_eeg","metadata":{"execution":{"iopub.status.busy":"2024-05-24T09:00:50.899737Z","iopub.execute_input":"2024-05-24T09:00:50.900644Z","iopub.status.idle":"2024-05-24T09:00:50.940560Z","shell.execute_reply.started":"2024-05-24T09:00:50.900583Z","shell.execute_reply":"2024-05-24T09:00:50.939759Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![image.png](attachment:499c88dc-ddec-4ac2-b0bf-47dccb40a745.png)","metadata":{},"attachments":{"499c88dc-ddec-4ac2-b0bf-47dccb40a745.png":{"image/png":"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"}}}]}