prabinpanta0
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README.md
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{
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"model_id": "prabinpanta0/Patient-Readmission-Prediction",
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"model_type": "sequence-classification",
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```
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- f1
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# Patient Readmission Prediction
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## Tranning
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Github: [prabinpanta0/Patient-Readmission-Prediction](https://github.com/prabinpanta0/Patient-Readmission-Prediction)
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## Dataset
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* Original Source: [Kaggle/datasets/dubradave/hospital-readmissions](https://kaggle.com/datasets/dubradave/hospital-readmissions)
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* Import Source: [HuggingFace/datasets/prabinpanta0/genki_hospital](https://huggingface.co/datasets/prabinpanta0/genki_hospital)
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```Json
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{
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"model_id": "prabinpanta0/Patient-Readmission-Prediction",
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"model_type": "sequence-classification",
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}
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}
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```
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## metrics
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|Model|Accuracy |Precision |Recall |AUC-ROC |
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|-----|------------------|------------------|------------------|------------------|
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|Random Forest|0.86544 |0.8734358240972471|0.8337883959044369|0.8635809449401703|
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|Logistic Regression|0.74736 |0.7493540051679587|0.6928327645051194|0.7441573461079813|
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|K-Nearest Neighbors|0.84112 |0.8543724844493231|0.7969283276450512|0.838524404786381 |
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|Support Vector Classifier|0.84256 |0.8492462311557789|0.8075085324232082|0.8405012541634113|
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|Naive Bayes|0.74176 |0.7692307692307693|0.6416382252559727|0.7358793535918418|
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|Neural Network|0.87664 |0.889009009009009 |0.8419795221843004|0.8746042189234755|
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|Random Forest (Cross-Validation)|0.86544 |0.8734358240972471|0.8337883959044369|0.8635809449401703|
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|Logistic Regression (Cross-Validation)|0.74736 |0.7493540051679587|0.6928327645051194|0.7441573461079813|
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|LightGBM (Cross-Validation)|0.8728 |0.8773418168964299|0.847098976109215 |0.8712904519100293|
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|Random Forest|Logistic Regression|K-Nearest Neighbors|Support Vector Classifier|Naive Bayes |Neural Network |Random Forest (Cross-Validation)|Logistic Regression (Cross-Validation)|LightGBM (Cross-Validation)|
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|-------------|-------------------|-------------------|-------------------------|------------------|------------------|--------------------------------|--------------------------------------|---------------------------|
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|1.0 |0.7453866666666666 |0.8901866666666667 |0.8530133333333333 |0.7455466666666667|0.88288 |1.0 |0.7453866666666666 |0.9045866666666667 |
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|1.0 |0.7449201741654572 |0.9005328596802842 |0.8556024378809189 |0.7743332882090158|0.8964114832535885|1.0 |0.7449201741654572 |0.910874897792314 |
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|1.0 |0.6979827742520399 |0.8618540344514959 |0.8272892112420671 |0.6482320942883046|0.849274705349048 |1.0 |0.6979827742520399 |0.8837262012692656 |
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|1.0 |0.7427552396345833 |0.8886139001594574 |0.8515853672571407 |0.7401446588709305|0.8810145438895148|1.0 |0.7427552396345833 |0.9034286859660855 |
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