yet, something is still unclear; in Python you can do things like: *clf0.fit(X_train, y_train)*
which is not the way I programmed in other languages where a left-hand side and a right hand side is required. Am Fr., 8. Mai 2020 um 21:52 Uhr schrieb joseph pareti < joeparet...@gmail.com>: > yes, it is random forest classifier from scikit learn. Thank you. > > Am Fr., 8. Mai 2020 um 21:50 Uhr schrieb MRAB <pyt...@mrabarnett.plus.com > >: > >> On 2020-05-08 20:02, joseph pareti wrote: >> > In general I prefer doing: >> > >> > >> > X_train, X_test, y_train, y_test = train_test_split(X, y, >> test_size=0.33, random_state=42) >> >clf = RandomForestClassifier(n_estimators = 100, max_depth= >> > None) *clf_f = clf.fit(X_train, y_train)* predicted_labels = >> clf_f.predict( >> > X_test) score = clf.score(X_test, y_test) score1 = >> metrics.accuracy_score( >> > y_test, predicted_labels) >> > >> > >> > rather than: >> > >> > X_train, X_test, y_train, y_test = train_test_split(X, y, >> test_size=0.33, >> > random_state=42) clf0=RandomForestClassifier(n_estimators=100, >> max_depth= >> > None) *clf0.fit(X_train, y_train)* y_pred =clf0.predict(X_test) score= >> > metrics.accuracy_score(y_test, y_pred) >> > >> > >> > Are the two codes really equivalent? >> > >> You didn't give any context and say what package you're using! >> >> After searching for "RandomForestClassifier", I'm guessing that you're >> using scikit. >> >> From the documentation here: >> >> >> https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier.fit >> >> it says: >> >> Returns: self : object >> >> so it looks like clf.fit(...) returns clf. >> >> That being the case, then, yes, they're equivalent. >> -- >> https://mail.python.org/mailman/listinfo/python-list >> > > > -- > Regards, > Joseph Pareti - Artificial Intelligence consultant > Joseph Pareti's AI Consulting Services > https://www.joepareti54-ai.com/ > cell +49 1520 1600 209 > cell +39 339 797 0644 > -- Regards, Joseph Pareti - Artificial Intelligence consultant Joseph Pareti's AI Consulting Services https://www.joepareti54-ai.com/ cell +49 1520 1600 209 cell +39 339 797 0644 -- https://mail.python.org/mailman/listinfo/python-list
