Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +45 -0
- config.json +1 -0
- model.joblib +3 -0
.gitattributes
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README.md
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---
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tags:
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- autotrain
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- tabular
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- classification
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- tabular-classification
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datasets:
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- rajistics/autotrain-data-Adult
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co2_eq_emissions: 38.42484725553464
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---
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# Model Trained Using AutoTrain
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- Problem type: Binary Classification
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- Model ID: 934630783
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- CO2 Emissions (in grams): 38.42484725553464
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## Validation Metrics
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- Loss: 0.2984429822985684
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- Accuracy: 0.8628221244500315
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- Precision: 0.7873263888888888
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- Recall: 0.5908794788273616
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- AUC: 0.9182195921357326
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- F1: 0.6751023446222553
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## Usage
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```python
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import json
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import joblib
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import pandas as pd
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model = joblib.load('model.joblib')
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config = json.load(open('config.json'))
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features = config['features']
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# data = pd.read_csv("data.csv")
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data = data[features]
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data.columns = ["feat_" + str(col) for col in data.columns]
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predictions = model.predict(data) # or model.predict_proba(data)
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```
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config.json
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{"features": ["age", "fnlwgt", "education-num", "capital-gain", "capital-loss", "hours-per-week", "workclass", "education", "marital-status", "occupation", "relationship", "race", "sex", "native-country"], "targets": ["target"], "model_type": "extra_trees", "target_mapping": {"<50k": 0, ">=50k": 1}}
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model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:77cbb95ff6cedad10be5946d2899f97c6ad77a656f01aae88aea57270f5d6863
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size 638485433
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