To train and test various supervised and unsupervised machine learning models and compare the models
Random Forest
Logistic Regression
Decision Tree
K-Nearest Neighbour
Support Vector Machine
K-Means Clustering
LGBoost
Perceptron
Gausian Naive Bayes
XGBoost
- Dataset has 195 rows and 24 columns
- The status attribute is the dependent variable
| Column |
|---|
| name |
| MDVP:Fo(Hz) |
| MDVP:Fhi(Hz) |
| MDVP:Flo(Hz) |
| MDVP:Jitter(%) |
| MDVP:Jitter(Abs) |
| MDVP:RAP |
| MDVP:PPQ |
| Jitter:DDP |
| MDVP:Shimmer |
| MDVP:Shimmer(dB) |
| Shimmer:APQ3 |
| Shimmer:APQ5 |
| MDVP:APQ |
| Shimmer:DDA |
| NHR |
| HNR |
| status |
| RPDE |
| DFA |
| spread1 |
| spread2 |
| D2 |
| PPE |