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mofodbtransactions
nvenhuizen14/mofodbtransactions
mofodbtransactions is a tabular classification model from nvenhuizen14. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 66203136426 - CO2 Emissions (in grams): 0.0425
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.joblib395 KB · 99%
At a glance
- Task
- Tabular Classification
- Library
- transformers
- Model type
- logistic_regression
- Access
- Public
- Created
- Jun 13, 2023
- Updated
- Jun 13, 2023
- SHA
- aa6dfb6b
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 66203136426
- CO2 Emissions (in grams): 0.0425
Validation Metrics
- Loss: 0.007
- Accuracy: 0.997
- Macro F1: 0.915
- Micro F1: 0.997
- Weighted F1: 0.996
- Macro Precision: 0.926
- Micro Precision: 0.997
- Weighted Precision: 0.995
- Macro Recall: 0.915
- Micro Recall: 0.997
- Weighted Recall: 0.997
Usage
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)
- Task
- Tabular Classification
- Library
- transformers
- Type
- logistic_regression
- Created
- Jun 13, 2023
- Updated
- Jun 13, 2023