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16 Şub4 dakikada okunur

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

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16 Şub1 dakikada okunur

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.

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2 Eyl 20232 dakikada okunur

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

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31 Tem 20232 dakikada okunur

The Hyperspace is not Always Euclidean: Study of f1 Scores with Sklearn Metrics - Part II

In 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

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31 Tem 20231 dakikada okunur

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)

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