# You code here (read-only in a JupyterBook, pls run jupyter-notebook to edit) ``` **Next, we turn to the construction of the SARIMAX model (`sm.tsa.statespace.SARIMAX`). Question 5: What parameters are the best for the model according to the `AIC` criterion?** - D = 1, d ...
notebook==5.7.8 numpy==1.16.4 nvidia-ml-py3==7.352.0 orderedmultidict==1.0 pandas==0.24.2 pandocfilters==1.4.2 parsel==1.5.1 parso==0.4.0 passlib==1.7.1 pathlib2==2.3.2 patsy==0.5.1 pexpect==4.7.0 phonenumbers==8.9.16 pickleshare==0.7.5 pluggy==0.8.0 prometheus-client==0.6....
('ignore') #notebook outputs warnings, let's ignore them\nimport pandas\nimport sklearn\nimport sklearn.datasets\nimport sklearn.metrics as metrics \nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.cross_validation import StratifiedKFold\n\n# load the iris dataset\ndataset ...