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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


prior_to_MGMv4_1_BETA_30_11_2023.ipynb - New Features for Data Analysis of Stock Prices with Sklearn
Data analysis with Sklearn for stock prices, new features for the new approach.
Alejandro Romero
9 Oca 20241 dakikada okunur


Data is Nor 2D Neither 3D but 4D... or Higher
Data is not 2D, 3D or 4D, it is more complicated and difficult to visualize
Alejandro Romero
9 Eki 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
Alejandro Romero
2 Eyl 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
Alejandro Romero
31 Tem 20232 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)
Alejandro Romero
31 Tem 20231 dakikada okunur


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...
Alejandro Romero
2 May 20233 dakikada okunur


MGM Predicted vs Real Quotations (Google Colab): F1 Scores/Confusion Matrix Using Sklearn
Each frequency bin is treated as coordinate feature, then, the hyperplane has as many dimensions as classes are.
Alejandro Romero
1 May 20231 dakikada okunur


The Accuracy of Splines Overtime - 3D Time-Series Approach Part III: Mastering The Math Matters
In the prior post it was proven that, as a stochastic variable, a stock quote is impossible to be predicted using regression. It is based on
Alejandro Romero
18 Mar 20233 dakikada okunur
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