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autotrain-ainzb-v3kva
evgpat/autotrain-ainzb-v3kva
autotrain-ainzb-v3kva is a tabular classification model from evgpat. Use it for the tabular classification task on the model card, and read the license before you ship it in a product.
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Public
Updated Oct 16, 2025
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4.9 KB
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At a glance
- Task
- Tabular Classification
- Access
- Public
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025
- SHA
- 7f7a3932
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Tabular classification
Validation Metrics
- auc: 0.8997762148337596
- logloss: 0.09758386704239537
- f1: 0.19753086419753085
- accuracy: 0.9675
- precision: 0.6153846153846154
- recall: 0.11764705882352941
- loss: 0.09758386704239537
Best Params
- C: 9.888833924934179
- fit_intercept: False
- solver: saga
- penalty: l2
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]
predictions = model.predict(data) # or model.predict_proba(data)
# predictions can be converted to original labels using label_encoders.pkl
- Task
- Tabular Classification
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025