---
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)

```