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1.17. Neural network models (supervised) — scik...
non-linear activation function \(g(\cdot):R \rightarrow R\) - like...learns the function \(f(x) = W_2 g(W_1^T x + b_1) + b_2\) where \(W_1...scikit-learn.org/stable/modules/neural_networks_supervised.html -
sklearn.metrics.roc_auc_score — scikit-learn 1....
the ROC as follows: G = 2 * AUC - 1 Where G is the Gini coefficient...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
sklearn.multiclass.OutputCodeClassifier — sciki...
Bakiri G., Journal of Artificial Intelligence...coding method and PICTs”, James G., Hastie T., Journal of Computational...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
sklearn.decomposition.IncrementalPCA — scikit-l...
G. Holub and C. Van Loan, Chapter...Issue 1-3, pp. 125-141, May 2008. G. Golub and C. Van Loan. Matrix...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html