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