scikit-learn is a machine-learning library for Python that provides simple and efficient tools for data analysis and data mining, with a focus on machine learning.
I have trouble understanding the difference (if there is one) between roc_auc_score() and auc() in scikit-learn. Im tying …
python machine-learning scikit-learnI have five text files that I input to a CountVectorizer. When specifying min_df and max_df to the …
python machine-learning scikit-learn nlpthis page: http://scikit-learn.org/stable/modules/feature_extraction.html mentions: As tf–idf is a very often used for …
python scikit-learn tf-idfI'm using Scikit-learn to apply machine learning algorithm on my data sets. Sometimes I need to have the probabilities of …
python machine-learning scikit-learn random-forestI am looking for a way to graph grid_scores_ from GridSearchCV in sklearn. In this example I am trying …
python machine-learning scikit-learn grid-searchI have a small corpus and I want to calculate the accuracy of naive Bayes classifier using 10-fold cross validation, …
python scikit-learn nltk cross-validation naivebayesHow can one use cross_val_score for regression? The default scoring seems to be accuracy, which is not very …
python scikit-learn regressionI am using Anaconda 5.3.0's Python interpreter in Visual Studio Code. When I try to import sklearn I get an …
python numpy scikit-learn anaconda condaI want to plot a decision tree of a random forest. So, i create the following code: clf = RandomForestClassifier(n_…
python tree scikit-learn random-forest pydotThe classifiers in machine learning packages like liblinear and nltk offer a method show_most_informative_features(), which is really …
python machine-learning classification scikit-learn