scikit-learnが提供するアルゴリズムを一通り試せる

[ftnext]

どのモデルが有望そうかを判断するために、アルゴリズムを変えて訓練を繰り返し回したい

https://www.kaggle.com/startupsci/titanic-data-science-solutions で使っているのと同じくらい試せるようにしたい

# machine learning（パッケージ名のアルファベット順に並び替え）
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.linear_model import Perceptron  # classification only
from sklearn.linear_model import SGDClassifier
from sklearn.naive_bayes import GaussianNB  # classification only
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC, LinearSVC
from sklearn.tree import DecisionTreeClassifier

[ftnext]

上記classifierに対応するregressor

sklearn.ensemble.RandomForestRegressor https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html

sklearn.linear_model.LinearRegression https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html

sklearn.linear_model.SGDRegressor https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html

（sklearn.linear_model.ElasticNet） https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html

sklearn.neighbors.KNeighborsRegressor https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html

sklearn.svm.SVR https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html

sklearn.svm.LinearSVR https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html

sklearn.tree.DecisionTreeRegressor https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html

追加したい sklearn.neural_network.MLPRegressor https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html