| Hint | Réponse | % Correct |
|---|---|---|
| sklearn.tree | DecisionTreeClassifier | 100%
|
| sklearn.linear_model | LinearRegression | 100%
|
| sklearn.base | BaseEstimator | 50%
|
| sklearn.cluster | KMeans | 50%
|
| sklearn.linear_model | LogisticRegression | 50%
|
| sklearn.pipeline | Pipeline | 50%
|
| sklearn.ensemble | RandomForestClassifier | 50%
|
| sklearn.base | TransformerMixin | 50%
|
| sklearn.ensemble | AdaBoostClassifier | 0%
|
| sklearn.ensemble | AdaBoostRegressor | 0%
|
| sklearn.cluster | AgglomerativeClustering | 0%
|
| sklearn.ensemble | BaggingClassifier | 0%
|
| sklearn.ensemble | BaggingRegressor | 0%
|
| sklearn.mixture | BayesianGaussianMixture | 0%
|
| sklearn.base | ClassifierChain | 0%
|
| sklearn.pipeline | ColumnTransformer | 0%
|
| sklearn.cluster | DBSCAN | 0%
|
| sklearn.tree | DecisionTreeRegressor | 0%
|
| sklearn.metrics | ConfusionMatrixDisplay | 0%
|
| sklearn.dummy | DummyClassifier | 0%
|
| sklearn.preprocessing | StandardScaler | 0%
|
| sklearn.linear_model | ElasticNet | 0%
|
| sklearn.linear_model | ElasticNetCV | 0%
|
| sklearn.ensemble | ExtraTreesClassifier | 0%
|
| sklearn.ensemble | ExtraTreesRegressor | 0%
|
| sklearn.pipeline | FeatureUnion | 0%
|
| sklearn.preprocessing | FunctionTransformer | 0%
|
| sklearn.mixture | GaussianMixture | 0%
|
| sklearn.random_projection | GaussianRandomProjection | 0%
|
| sklearn.ensemble | GradientBoostingClassifier | 0%
|
| sklearn.ensemble | GradientBoostingRegressor | 0%
|
| sklearn.model_selection | GridSearchCV | 0%
|
| sklearn.model_selection | HalvingGridSearchCV | 0%
|
| sklearn.model_selection | HalvingRandomSearchCV | 0%
|
| sklearn.ensemble | HistGradientBoostingRegressor | 0%
|
| sklearn.decomposition | IncrementalPCA | 0%
|
| sklearn.ensemble | IsolationForest | 0%
|
| sklearn.manifold | Isomap | 0%
|
| sklearn.decomposition | KernelPCA | 0%
|
| sklearn.neighbors | KNeighborsClassifier | 0%
|
| sklearn.neighbors | KNeighborsRegressor | 0%
|
| sklearn.linear_model | Lasso | 0%
|
| sklearn.linear_model | LassoCV | 0%
|
| sklearn.svm | LinearSVC | 0%
|
| sklearn.svm | LinearSVR | 0%
|
| sklearn.manifold | LocallyLinearEmbedding | 0%
|
| sklearn.manifold | MDS | 0%
|
| sklearn.cluster | MiniBatchKMeans | 0%
|
| sklearn.preprocessing | MinMaxScaler | 0%
|
| sklearn.preprocessing | OneHotEncoder | 0%
|
| sklearn.multiclass | OneVsRestClassifier | 0%
|
| sklearn.preprocessing | OrdinalEncoder | 0%
|
| sklearn.decomposition | PCA | 0%
|
| sklearn.preprocessing | PolynomialFeatures | 0%
|
| sklearn.ensemble | RandomForestRegressor | 0%
|
| sklearn.model_selection | RandomizedSearchCV | 0%
|
| sklearn.linear_model | Ridge | 0%
|
| sklearn.linear_model | RidgeCV | 0%
|
| sklearn.linear_model | SGDClassifier | 0%
|
| sklearn.linear_model | SGDRegressor | 0%
|
| sklearn.impute | SimpleImputer | 0%
|
| sklearn.random_projection | SparseRandomProjection | 0%
|
| sklearn.cluster | SpectralClustering | 0%
|
| sklearn.ensemble | StackingClassifier | 0%
|
| sklearn.ensemble | StackingRegressor | 0%
|
| sklearn.model_selection | StratifiedKFold | 0%
|
| sklearn.model_selection | StratifiedShuffleSplit | 0%
|
| sklearn.svm | SVC | 0%
|
| sklearn.svm | SVR | 0%
|
| sklearn.compose | TransformedTargetRegressor | 0%
|
| sklearn.manifold | TSNE | 0%
|
| sklearn.ensemble | VotingClassifier | 0%
|
| sklearn.ensemble | VotingRegressor | 0%
|