Open sama25100 opened 2 years ago
What do you mean by reducing dimensionality with pca?
What do you mean by reducing dimensionality with pca?
Because each rider has so many perfomance features which could not fit into the logistic regression model. Applying PCA is a common dimension reduction strategy.
Confusion Matrix: [[1031 254] [ 15 14]] Accuracy: 0.7952815829528158 Precision: 0.05223880597014925 Recall: 0.4827586206896552