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autotrain-in-class-test-1780161764
pachi107/autotrain-in-class-test-1780161764
autotrain-in-class-test-1780161764 is a tabular classification model from pachi107. 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: Binary Classification - Model ID: 1780161764 - CO2 Emissions (in grams): 3.1622
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Repo size
299 KB
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Repo makeup
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.joblib299 KB · 99%
At a glance
- Task
- Tabular Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 17, 2022
- Updated
- Oct 17, 2022
- SHA
- 3ef61719
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1780161764
- CO2 Emissions (in grams): 3.1622
Validation Metrics
- Loss: 0.044
- Accuracy: 0.974
- Precision: 1.000
- Recall: 0.930
- AUC: 1.000
- F1: 0.964
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
- Oct 17, 2022
- Updated
- Oct 17, 2022