Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- abhishek/autotrain-data-adult-train
+co2_eq_emissions: 0.12693590577861977
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Binary Classification
+- Model ID: 9725286
+- CO2 Emissions (in grams): 0.12693590577861977
+
+## Validation Metrics
+
+- Loss: 0.26716182056213406
+- Accuracy: 0.8750191923844618
+- Precision: 0.7840481565086531
+- Recall: 0.6641172721478649
+- AUC: 0.9345322809861784
+- F1: 0.7191166321601105
+
+## Usage
+
+```python
+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)
+
+```

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": "xgboost", "target_mapping": {"<=50K": 0, ">50K": 1}}

model.joblib

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