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import os
from pathlib import Path
# Paths
BASE_DIR = './'
DATA = os.path.join(BASE_DIR, 'data/')
TEST_FILE = os.path.join(DATA, 'Paitients_Files_Test.csv')
HISTORY = os.path.join(DATA, 'history/')
HISTORY_FILE = os.path.join(HISTORY, 'history.csv')
# Urls
TEST_FILE_URL = "https://raw.githubusercontent.com/D0nG4667/sepsis_prediction_full_stack/model_development/dev/data/Paitients_Files_Test.csv"
# ENV when using standalone streamlit server
ENV_PATH = Path('../../env/online.env')
ALL_MODELS = [
"AdaBoostClassifier",
"CatBoostClassifier",
"DecisionTreeClassifier",
"KNeighborsClassifier",
"LGBMClassifier",
"LogisticRegression",
"RandomForestClassifier",
"SupportVectorClassifier",
"XGBoostClassifier",
]
BEST_MODELS = ["RandomForestClassifier", "XGBoostClassifier"]
markdown_table_all = """
| Column Name | Attribute/Target | Description |
|------------------------------|------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ID | N/A | Unique number to represent patient ID |
| PRG | Attribute1 | Plasma glucose|
| PL | Attribute 2 | Blood Work Result-1 (mu U/ml) |
| PR | Attribute 3 | Blood Pressure (mm Hg)|
| SK | Attribute 4 | Blood Work Result-2 (mm)|
| TS | Attribute 5 | Blood Work Result-3 (mu U/ml)|
| M11 | Attribute 6 | Body mass index (weight in kg/(height in m)^2|
| BD2 | Attribute 7 | Blood Work Result-4 (mu U/ml)|
| Age | Attribute 8 | patients age (years)|
| Insurance | N/A | If a patient holds a valid insurance card|
| Sepsis | Target | Positive: if a patient in ICU will develop a sepsis , and Negative: otherwise |
"""
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