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autotrain-wine_quality-3195889865
reesu/autotrain-wine_quality-3195889865
autotrain-wine_quality-3195889865 is a tabular classification model from reesu. 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: 3195889865 - CO2 Emissions (in grams): 0.8739
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4.6 KB
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.joblib4.6 KB · 62%
At a glance
- Task
- Tabular Classification
- Library
- transformers
- Model type
- svm
- Access
- Public
- Created
- Feb 1, 2023
- Updated
- Feb 1, 2023
- SHA
- 80d96480
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3195889865
- CO2 Emissions (in grams): 0.8739
Validation Metrics
- Loss: 15.722
- Accuracy: 0.545
- Macro F1: 0.226
- Micro F1: 0.545
- Weighted F1: 0.500
- Macro Precision: 0.260
- Micro Precision: 0.545
- Weighted Precision: 0.507
- Macro Recall: 0.240
- Micro Recall: 0.545
- Weighted Recall: 0.545
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
- svm
- Created
- Feb 1, 2023
- Updated
- Feb 1, 2023