top of page

MLP BLOG
GET UP TO DATE WITH A NEW PERSPECTIVE ON MACHINE LEARNING, DATA SCIENCE, AND 3D PRINTING
Ara


The Hyperspace is not Always Euclidean: f1 Scores in Positive/Negative Curvature Using Eigenvectors and Sklearn - Part VI
f1 score from eigenvectors assuming positive curvature outperforms euclidean metrics, which gives a hint of reality in a curved space or non
Alejandro Romero
16 Şub 20244 dakikada okunur
2 görüntüleme
0 yorum


The Hyperspace is not Always Euclidean: UPDATED - Study of f1 Score with Sklearn Metrics - Part V (Colab)
Study of f1 Score with Sklearn Metrics in Curved Surfaces. Non Euclidean Geometry.
Alejandro Romero
16 Şub 20241 dakikada okunur
1 görüntüleme
0 yorum


The Hyperspace is not Always Euclidean: f1 Score in Positive Curvature Fits Best Data - Part IV
F1 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 Romero
2 Eyl 20232 dakikada okunur
2 görüntüleme
0 yorum


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 Romero
31 Tem 20231 dakikada okunur
1 görüntüleme
0 yorum
bottom of page