sklearn.metrics.recall_score(y_true, y_pred, labels=None, pos_label=1, average='binary', sample_weight=None)

class sklearn.cluster.FeatureAgglomeration(n_clusters=2, affinity='euclidean', memory=Memory(cachedir=None), connectivity=None

sklearn.datasets.load_sample_images()

class sklearn.dummy.DummyClassifier(strategy='stratified', random_state=None, constant=None)

class sklearn.preprocessing.Binarizer(threshold=0.0, copy=True)

class sklearn.feature_selection.SelectFwe(score_func=, alpha=0.05)

sklearn.datasets.make_moons(n_samples=100, shuffle=True, noise=None, random_state=None)

sklearn.datasets.fetch_20newsgroups(data_home=None, subset='train', categories=None, shuffle=True, random_state=42, remove=()

class sklearn.model_selection.ShuffleSplit(n_splits=10, test_size=0.1, train_size=None, random_state=None)

sklearn.metrics.roc_auc_score(y_true, y_score, average='macro', sample_weight=None)