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vector icon line sign algorithm classification distance euclidean machine learning neighbors regression supervised training set variable accuracy clustering data features grid search hyperparameters impurity kvalue leaf size outliers prediction query point similarity test unsupervised weighted knn boundary decision tree dimensionality reduction error rate f score gradient boosting hamming inference jaccard index kernel function node manhattan occams razor precision recall scikitlearn support machines tanimoto validation