Alejandro Romero2 Eyl 20232 dk.The Hyperspace is not Always Euclidean: f1 Score in Positive Curvature Fits Best Data - Part IVF1 score get a boost of up to 79% for the most important class in a support vector machines classification problem. Positive curvature of no
Alejandro Romero31 Tem 20232 dk.The Hyperspace is not Always Euclidean: Study of f1 Scores with Sklearn Metrics - Part IIIn part I it was explained that a first sight at the f1 scores -considering features as in a classic 3D space against a non-euclidean one- g
Alejandro Romero31 Tem 20231 dk.The Hyperspace is not Always Euclidean: Study of f1 Score with Sklearn Metrics - Part III (Colab)The Hyperspace is not Always Euclidean: Study of f1 Score with Sklearn Metrics, Grid Search - Part III (Google Colab)
Alejandro Romero2 May 20233 dk.The Hyperspace is not Always Euclidean: Study of f1 Score with Sklearn Metrics - Part I...this sparse matrix that contains all classes with the most influence, is compared against the 'y_true' that needs also to be...