Fix line break bug in hyperparameter table

README.md

@@ -161,8 +161,7 @@ The model is trained with below hyperparameters.
 | estimator__random_state             | 42                                                                                                                                                                                                                                                                          |
 | estimator__verbose                  | 1                                                                                                                                                                                                                                                                           |
 | estimator__warm_start               | False                                                                                                                                                                                                                                                                       |
-| estimator                           | RandomForestClassifier(class_weight='balanced', n_jobs=-1, random_state=42,
-                       verbose=1)                                                                                                                                                                                                                                                                             |
+| estimator                           | RandomForestClassifier(class_weight='balanced', n_jobs=-1, random_state=42,verbose=1)                                                                                                                                                                                                                                                                             |
 | n_iter                              | 100                                                                                                                                                                                                                                                                         |
 | n_jobs                              | -1                                                                                                                                                                                                                                                                          |
 | param_distributions                 | {'n_estimators': [200, 400, 600, 800, 1000, 1200, 1400, 1600, 1800, 2000], 'max_features': ['auto', 'sqrt'], 'max_depth': [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, None], 'min_samples_split': [2, 5, 10], 'min_samples_leaf': [1, 2, 4], 'bootstrap': [True, False]} |