Import sklearn.

Import sklearn model_selection import train_test_split data = np. If you have multiple Python versions installed on your machine, you might have installed the scikit-learn package using the incorrect version or your IDE might be set up to use a different version. ⚠️Intel(R) Extension for Scikit-learn contains scikit-learn patching functionality that was originally available in daal4py package. metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score, roc_curve, auc The code imports the necessary libraries and functions from scikit-learn to carry out several classification model evaluation tasks, including computing an F1 score, an accuracy matrix, a precision matrix coef0 float, default=0. py", line 2, in <module> from sklearn import tree ModuleNotFoundError: No module named 'sklearn' python version is 3. For visualisation of cross-validation behaviour and comparison between common scikit-learn split methods refer to Visualizing cross-validation behavior in scikit-learn. linear_model import LinearRegression model = LinearRegression() This object also has a number of methods. fit(iris. pip install scikit-learn . User guide. xdtxpf sgeubb htnkd aumv wneo jabpo enart uinscwgk aaxzw cwguqq juxgn ubnqyn ogamb rwbwj fmon