-
```python
import xgboost as xgb
from sklearn.datasets import load_diabetes
from sklearn.model_selection import train_test_split
diabetes = load_diabetes()
feature_names = diabetes.feature_names…
GZYZG updated
2 years ago
-
-
### What happened?
Diabetes prediction model is not visible
### How can we reproduce this bug?
I can try by training a ML model by using a standard dataset of diabetes.
### Desktop Information (Op…
-
Hi, I forked your code and wrapped it with a FHIR API. It seems to me that the predictions made by your model are not accurate. Please consider the attached screenshots. In one case of Breast Cance…
-
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
import joblib
# загрузка данных
data = pd.read_csv('diabetes2.csv')…
-
- Made ML to calculate the percent chance of having diabetes by inputting height, weekly sugar intake, weekly activity in hours, approximate bodyfat, and age.
- Already integrated in CPT project, rel…
-
send me the ui code i am getting an error
-
The model in diabetes_model.py uses Logistic Regression. We want to explore if a Random Forest model can improve the accuracy of predictions.
**Tasks:**
- Implement a Random Forest classifier in…
-
I read your project proposal. Your project is clear in terms of scope. However, it looks like a very straightforward project, which is not bad, but I want you guys to learn more.
So, here are two …
-
Using PyCaret, validation score and prediction score are easy to obtain, but how can I obtain train score?
Although it can be seen on learning curve, I want to output train score as a concrete number…