@@ -110,7 +110,7 @@ def predict(self, X_test: np.ndarray, predict_proba: bool = False) -> np.ndarray
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def get_properties (dataset_properties : Optional [Dict [str , Any ]] = None ) -> Dict [str , str ]:
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return {
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'shortname' : 'LGBMClassifier' ,
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- 'name' : 'LGBMClassifier ' ,
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+ 'name' : 'Light Gradient Boosting Machine Classifier ' ,
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}
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@@ -178,7 +178,7 @@ def predict(self, X_test: np.ndarray, predict_proba: bool = False) -> np.ndarray
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def get_properties (dataset_properties : Optional [Dict [str , Any ]] = None ) -> Dict [str , str ]:
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return {
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'shortname' : 'CatBoostClassifier' ,
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- 'name' : 'CatBoostClassifier ' ,
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+ 'name' : 'Categorical Boosting Classifier ' ,
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}
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@@ -243,8 +243,8 @@ def predict(self, X_test: np.ndarray, predict_proba: bool = False) -> np.ndarray
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@staticmethod
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def get_properties (dataset_properties : Optional [Dict [str , Any ]] = None ) -> Dict [str , str ]:
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return {
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- 'shortname' : 'RandomForestClassifier ' ,
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- 'name' : 'RandomForestClassifier ' ,
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+ 'shortname' : 'RFClassifier ' ,
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+ 'name' : 'Random Forest Classifier ' ,
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}
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@@ -369,8 +369,8 @@ def predict(self, X_test: np.ndarray, predict_proba: bool = False) -> np.ndarray
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@staticmethod
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def get_properties (dataset_properties : Optional [Dict [str , Any ]] = None ) -> Dict [str , str ]:
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return {
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- 'shortname' : 'KNeighborsClassifier ' ,
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- 'name' : 'KNeighborsClassifier ' ,
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+ 'shortname' : 'KNNClassifier ' ,
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+ 'name' : 'K Nearest Neighbors Classifier ' ,
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}
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@@ -424,5 +424,5 @@ def predict(self, X_test: np.ndarray, predict_proba: bool = False) -> np.ndarray
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def get_properties (dataset_properties : Optional [Dict [str , Any ]] = None ) -> Dict [str , str ]:
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return {
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'shortname' : 'SVC' ,
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- 'name' : 'SVC ' ,
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+ 'name' : 'Support Vector Classification ' ,
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}
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