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Commit From AutoTrain

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  1. .gitattributes +3 -0
  2. README.md +45 -0
  3. config.json +1 -0
  4. model.joblib +3 -0
.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - tabular
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+ - classification
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+ - tabular-classification
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+ datasets:
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+ - rajistics/autotrain-data-Adult
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+ co2_eq_emissions: 38.42484725553464
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Binary Classification
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+ - Model ID: 934630783
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+ - CO2 Emissions (in grams): 38.42484725553464
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.2984429822985684
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+ - Accuracy: 0.8628221244500315
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+ - Precision: 0.7873263888888888
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+ - Recall: 0.5908794788273616
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+ - AUC: 0.9182195921357326
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+ - F1: 0.6751023446222553
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+
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+ ## Usage
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+
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+ ```python
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+ import json
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+ import joblib
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+ import pandas as pd
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+
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+ model = joblib.load('model.joblib')
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+ config = json.load(open('config.json'))
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+
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+ features = config['features']
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+
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+ # data = pd.read_csv("data.csv")
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+ data = data[features]
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+ data.columns = ["feat_" + str(col) for col in data.columns]
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+
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+ predictions = model.predict(data) # or model.predict_proba(data)
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+
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+ ```
config.json ADDED
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+ {"features": ["age", "fnlwgt", "education-num", "capital-gain", "capital-loss", "hours-per-week", "workclass", "education", "marital-status", "occupation", "relationship", "race", "sex", "native-country"], "targets": ["target"], "model_type": "extra_trees", "target_mapping": {"<50k": 0, ">=50k": 1}}
model.joblib ADDED
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