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param_grid = {'preprocessing': [MinMaxScaler(),QuantileTransformer(output_distribution="uniform",n_quantiles=20)],
              'feature_selection':[SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=9),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=10),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=11),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=12),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=13),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=14),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=15),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=16),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=17),
                                   SelectFromModel(LogisticRegression(solver="liblinear",penalty='l2',C=1),max_features=18),
                                   PCA(n_components=9,random_state=17),
                                   PCA(n_components=10,random_state=17),
                                   PCA(n_components=11,random_state=17),
                                   PCA(n_components=12,random_state=17),
                                   PCA(n_components=13,random_state=17),
                                   PCA(n_components=14,random_state=17),
                                   PCA(n_components=15,random_state=17),
                                   PCA(n_components=16,random_state=17),
                                   PCA(n_components=17,random_state=17),
                                   PCA(n_components=18,random_state=17)],
              'classifier__penalty':['l1','l2'],
              'classifier__C':[0.01,0.1,1.0,10,100]}