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autotrain-wine-1986366196
navidfk/autotrain-wine-1986366196
autotrain-wine-1986366196 is a tabular classification model from navidfk. 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: 1986366196 - CO2 Emissions (in grams): 23.9834
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Repo size
12.6 MB
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Repo makeup
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.joblib12.6 MB · 100%
At a glance
- Task
- Tabular Classification
- Library
- transformers
- Access
- Public
- Created
- Nov 4, 2022
- Updated
- Nov 4, 2022
- SHA
- 0940e91d
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1986366196
- CO2 Emissions (in grams): 23.9834
Validation Metrics
- Loss: 0.792
- Accuracy: 0.705
- Macro F1: 0.345
- Micro F1: 0.705
- Weighted F1: 0.683
- Macro Precision: 0.365
- Micro Precision: 0.705
- Weighted Precision: 0.676
- Macro Recall: 0.341
- Micro Recall: 0.705
- Weighted Recall: 0.705
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
- Created
- Nov 4, 2022
- Updated
- Nov 4, 2022