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autotrain-negative-keywords-classifier-61622134846
adgrowr/autotrain-negative-keywords-classifier-61622134846
autotrain-negative-keywords-classifier-61622134846 is a tabular classification model from adgrowr. 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: 61622134846 - CO2 Emissions (in grams): 1.2832
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Repo size
4.1 MB
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.joblib4.1 MB · 100%
At a glance
- Task
- Tabular Classification
- Library
- transformers
- Model type
- xgboost
- Access
- Public
- Created
- May 25, 2023
- Updated
- May 25, 2023
- SHA
- f2cfb49f
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 61622134846
- CO2 Emissions (in grams): 1.2832
Validation Metrics
- Loss: 0.883
- Accuracy: 0.583
- Macro F1: 0.184
- Micro F1: 0.583
- Weighted F1: 0.429
- Macro Precision: 0.146
- Micro Precision: 0.583
- Weighted Precision: 0.340
- Macro Recall: 0.250
- Micro Recall: 0.583
- Weighted Recall: 0.583
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
- xgboost
- Created
- May 25, 2023
- Updated
- May 25, 2023