metadata
license: apache-2.0
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: pickle
model_file: skops-dis9phuf.pkl
widget:
- structuredData:
x0:
- 3
- 5
- 1
x1:
- 5
- 5
- 3
x10:
- 0
- 0
- 0
x11:
- 0
- 0
- 0
x12:
- 0
- 0
- 0
x13:
- 0
- 0
- 0
x14:
- 0
- 0
- 0
x15:
- 0
- 0
- 0
x16:
- 0
- 0
- 0
x2:
- 3
- 4
- 0
x3:
- 5
- 4
- 0
x4:
- 4
- 4
- 0
x5:
- 4
- 0
- 0
x6:
- 3
- 0
- 0
x7:
- 2
- 0
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x8:
- 3
- 0
- 0
x9:
- 0
- 0
- 0
Model description
This model was created following the instructions in the following Kaggle notebook:https://www.kaggle.com/code/thedankdel/disease-symptom-prediction-ml-99The possible classified diseases are:The possible symptoms are:
Intended uses & limitations
This model follows the limitations of the Apache 2.0 license.
Training Procedure
[More Information Needed]
Hyperparameters
Click to expand
Hyperparameter | Value |
---|---|
bootstrap | True |
ccp_alpha | 0.0 |
class_weight | |
criterion | gini |
max_depth | 13 |
max_features | sqrt |
max_leaf_nodes | |
max_samples | |
min_impurity_decrease | 0.0 |
min_samples_leaf | 1 |
min_samples_split | 2 |
min_weight_fraction_leaf | 0.0 |
n_estimators | 500 |
n_jobs | |
oob_score | False |
random_state | 42 |
verbose | 0 |
warm_start | False |
Model Plot
RandomForestClassifier(max_depth=13, n_estimators=500, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
RandomForestClassifier(max_depth=13, n_estimators=500, random_state=42)
Evaluation Results
Metric | Value |
---|---|
accuracy | 0.995935 |
f1 score | 0.995935 |
Model description/Evaluation Results/Classification report
index | precision | recall | f1-score | support |
---|---|---|---|---|
(vertigo) Paroymsal Positional Vertigo | 1 | 1 | 1 | 18 |
AIDS | 1 | 1 | 1 | 20 |
Acne | 1 | 1 | 1 | 32 |
Alcoholic hepatitis | 1 | 1 | 1 | 29 |
Allergy | 1 | 0.947368 | 0.972973 | 19 |
Arthritis | 1 | 1 | 1 | 31 |
Bronchial Asthma | 1 | 1 | 1 | 28 |
Cervical spondylosis | 0.9375 | 1 | 0.967742 | 30 |
Chicken pox | 1 | 1 | 1 | 27 |
Chronic cholestasis | 1 | 1 | 1 | 19 |
Common Cold | 1 | 1 | 1 | 25 |
Dengue | 1 | 1 | 1 | 22 |
Diabetes | 1 | 1 | 1 | 23 |
Dimorphic hemmorhoids(piles) | 1 | 1 | 1 | 30 |
Drug Reaction | 1 | 1 | 1 | 21 |
Fungal infection | 1 | 1 | 1 | 25 |
GERD | 1 | 1 | 1 | 24 |
Gastroenteritis | 1 | 0.95 | 0.974359 | 20 |
Heart attack | 1 | 1 | 1 | 18 |
Hepatitis B | 1 | 1 | 1 | 28 |
Hepatitis C | 1 | 1 | 1 | 19 |
Hepatitis D | 1 | 1 | 1 | 22 |
Hepatitis E | 1 | 1 | 1 | 30 |
Hypertension | 1 | 0.931034 | 0.964286 | 29 |
Hyperthyroidism | 1 | 1 | 1 | 24 |
Hypoglycemia | 1 | 1 | 1 | 27 |
Hypothyroidism | 1 | 1 | 1 | 28 |
Impetigo | 1 | 1 | 1 | 24 |
Jaundice | 1 | 1 | 1 | 25 |
Malaria | 1 | 1 | 1 | 26 |
Migraine | 1 | 1 | 1 | 18 |
Osteoarthristis | 1 | 1 | 1 | 20 |
Paralysis (brain hemorrhage) | 0.904762 | 1 | 0.95 | 19 |
Peptic ulcer diseae | 1 | 1 | 1 | 27 |
Pneumonia | 1 | 1 | 1 | 21 |
Psoriasis | 1 | 1 | 1 | 22 |
Tuberculosis | 1 | 1 | 1 | 23 |
Typhoid | 1 | 1 | 1 | 20 |
Urinary tract infection | 1 | 1 | 1 | 24 |
Varicose veins | 1 | 1 | 1 | 26 |
hepatitis A | 1 | 1 | 1 | 21 |
macro avg | 0.996153 | 0.995815 | 0.995838 | 984 |
weighted avg | 0.996256 | 0.995935 | 0.995955 | 984 |
How to Get Started with the Model
[More Information Needed]
Model Card Authors
gianlab
Model Card Contact
You can contact the model card authors through following channels: [More Information Needed]
Citation
BibTeX
@inproceedings{...,year={2020}}