
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 50442120509
- CO2 Emissions (in grams): 0.1188

## Validation Metrics

- Loss: 13.859
- R2: 0.999
- MSE: 192.085
- MAE: 13.842
- RMSLE: 0.001

## 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)

```
{"tags": ["autotrain", "tabular", "regression", "tabular-regression"], "datasets": ["vyver7952/autotrain-data-foreign-exchange-idr-usd"], "co2_eq_emissions": {"emissions": 0.1187798673649329}}
transformers joblib svm autotrain tabular regression tabular-regression dataset:vyver7952/autotrain-data-foreign-exchange-idr-usd co2_eq_emissions endpoints_compatible region:us
TAGS
#transformers #joblib #svm #autotrain #tabular #regression #tabular-regression #dataset-vyver7952/autotrain-data-foreign-exchange-idr-usd #co2_eq_emissions #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 50442120509
- CO2 Emissions (in grams): 0.1188

## Validation Metrics

- Loss: 13.859
- R2: 0.999
- MSE: 192.085
- MAE: 13.842
- RMSLE: 0.001

## Usage


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 50442120509
- CO2 Emissions (in grams): 0.1188 ## Validation Metrics

- Loss: 13.859
- R2: 0.999
- MSE: 192.085
- MAE: 13.842
- RMSLE: 0.001 ## Usage
TAGS
#transformers #joblib #svm #autotrain #tabular #regression #tabular-regression #dataset-vyver7952/autotrain-data-foreign-exchange-idr-usd #co2_eq_emissions #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 50442120509
- CO2 Emissions (in grams): 0.1188 ## Validation Metrics

- Loss: 13.859
- R2: 0.999
- MSE: 192.085
- MAE: 13.842
- RMSLE: 0.001 ## Usage
TAGS
#transformers #joblib #svm #autotrain #tabular #regression #tabular-regression #dataset-vyver7952/autotrain-data-foreign-exchange-idr-usd #co2_eq_emissions #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 50442120509
- CO2 Emissions (in grams): 0.1188## Validation Metrics

- Loss: 13.859
- R2: 0.999
- MSE: 192.085
- MAE: 13.842
- RMSLE: 0.001## Usage