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---
tags:
- autotrain
- tabular
- classification
- tabular-classification
datasets:
- rajistics/autotrain-data-Adult
co2_eq_emissions: 38.42484725553464
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 934630783
- CO2 Emissions (in grams): 38.42484725553464
## Validation Metrics
- Loss: 0.2984429822985684
- Accuracy: 0.8628221244500315
- Precision: 0.7873263888888888
- Recall: 0.5908794788273616
- AUC: 0.9182195921357326
- F1: 0.6751023446222553
## Usage
```python
import json
import joblib
import pandas as pd
model = joblib.load('model.joblib')
config = json.load(open('config.json'))
features = config['features']
# data = pd.read_csv("data.csv")
data = data[features]
data.columns = ["feat_" + str(col) for col in data.columns]
predictions = model.predict(data) # or model.predict_proba(data)
``` |