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K-Nearest Neighbours (kNN) Algorithm: Common Questions and …
WebMay 12, 2024 · imputer = KNNImputer (n_neighbors=2) The question is, how does it fill the nan s while having nan s in 2 of the columns? For example, if it is to fill the nan in the 3rd column of the 1st row, how will it choose which features are the closest since one of the rows has nan in the first column as well? When I do imputer.fit_transform (X) it gives me WebMar 13, 2024 · Built a model to determine the risk associated with extending credit to a borrower. Performed Univariate and Bivariate exploration using various methods such as pair-plot and heatmap to detect outliers and to monitor the behaviour and correlation of the features. Imputed the missing values using KNN Imputer and implemented SMOTE to … freddie mercury and princess diana pictures
Missing data imputation with fancyimpute - GeeksforGeeks
WebJun 21, 2024 · results = [] best_estimator, best_params, best_val_score = None, None, np.inf for param_combination in param_grid: imputer = KNNImputer (**param_combination) train_pred = imputer.fit_transform (X_train) score = aes (y_train, train_pred) val_score = aes (y_val, imputer.transform (X_val)) param_combination ["train_score"]= score … WebJun 12, 2024 · 5) In general, practice, choosing the value of k is k = sqrt(N) where N stands for the number of samples in your training dataset. 6) Try and keep the value of k odd in order to avoid confusion between two … WebDec 15, 2024 · At this point, You’ve got the dataframe df with missing values. 2. Initialize KNNImputer. You can define your own n_neighbors value (as its typical of KNN … freddie mercury and roger taylor besties