area under the curve (auc) - attributionsx average precision bag-of-words representation applying to movie reviews - applying to toy dataset more than one word ( -grams) - steps in computing bernoullinb bigrams binary classification - binning - bootstrap samples boston housing dataset boundary points bunch objects business metric parameter in svc calibration cancer dataset categorical features categorical datadefined defined encoded as numbers example of representation in training and test sets representing using one-hot-encoding categorical variables (see categorical featureschaining (see algorithm chains and pipelinesclass labels classification problems binary vs multiclass examples of goals for iris classification example -nearest neighbors linear models naive bayes classifiers vs regression problems classifiers decisiontreeclassifier decisiontreeregressor kneighborsclassifier - - kneighborsregressor - index linearsvc - logisticregression - - mlpclassifier - naive bayes - svc - - - uncertainty estimates from - cluster centers clustering algorithms agglomerative clustering - applications for comparing on faces dataset - dbscan - evaluating with ground truth - evaluating without ground truth - goals of -means clustering - summary of code examples downloadingx permission for usex coef_ attribute comments and questionsxi competitions conflation confusion matrices - context continuous features core samples/core points corpus cos function countvectorizer cross-validation analyzing results of - benefits of cross-validation splitters grid search and - in scikit-learn leave-one-out cross-validation nested parallelizing with grid search principle of purpose of shuffle-split cross-validation stratified -fold - with groups cross_val_score function