# Model Version: v141.0 ## Model Type: SVM ## Best Parameters ``` C: 3, gamma: scale, kernel: linear ``` ## Model Performance Metrics - **Accuracy**: 0.9655172413793104 - **Precision**: 0.96684350132626 - **Recall**: 0.9655172413793104 - **F1 Score**: 0.9633922534531053 - **ROC AUC**: None ## Confusion Matrix ``` [[ 9, 3, 0], [ 0, 150, 0], [ 0, 3, 9]] ``` ## Feature List The following features were used in training the model: ``` track__valence track__tempo track__speechiness track__danceability track__liveness velocity current_popularity median_popularity mean_popularity std_popularity retrieval_frequency``` ## How to Use - Load the model and use the feature data to make predictions on target trend.