1105 1 weka.IBk 4 Weka_3.7.12_10141 D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66. 2015-02-05T16:43:04 English Weka_3.7.12 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). A flag true The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). E flag Minimise mean squared error rather than mean absolute error when using -X option with numeric prediction. F flag Weight neighbours by 1 - their distance (use when k > 1) I flag Weight neighbours by the inverse of their distance (use when k > 1) K option 1 Number of nearest neighbours (k) used in classification. (Default = 1) W option 0 Maximum number of training instances maintained. Training instances are dropped FIFO. (Default = no window) X flag Select the number of nearest neighbours between 1 and the k value specified using hold-one-out evaluation on the training data (use when k > 1) output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12 https://api.openml.org/data/download/483197/weka.classifiers.lazy.IBk6366168261856180402.class class 119cc39459fe3dec39891de5caed9688