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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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- structured-data-classification |
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datasets: |
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- vabadeh213/autotrain-data-titanic |
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co2_eq_emissions: 0.00509303545772981 |
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--- |
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https://colab.research.google.com/drive/16rmsJTBelh2vIWVxt9ncFEJmU7cEdUsE?usp=sharing |
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# Model Trained Using AutoTrain |
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- Problem type: Binary Classification |
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- Model ID: 744222727 |
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- CO2 Emissions (in grams): 0.00509303545772981 |
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## Validation Metrics |
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- Loss: 0.40596098709549455 |
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- Accuracy: 0.8378378378378378 |
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- Precision: 0.8518518518518519 |
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- Recall: 0.92 |
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- AUC: 0.8866666666666667 |
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- F1: 0.8846153846153846 |
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## Usage |
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```python |
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import json |
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import joblib |
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model = joblib.load('model.joblib') |
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config = json.load(open('config.json')) |
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features = config['features'] |
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# data = pd.read_csv("data.csv") |
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data = data[features] |
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predictions = model.predict(data) # or model.predict_proba(data) |
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``` |
