[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:dev_matrix_process_pca=pca_mod.transform(dev_matrix_process.toarray()[:,index])\nmodel_LG_L2 = LogisticRegression(penalty ='l2',C=19 )#C from the above test\nmodel_LG_L2.fit(word_matrix_process_pca, train_labels)\nprint('f1_score: %f' %metrics.f1_score(dev_labels,model_LG_L2.predict(dev_matrix_process_pca),average='binary'))\nprint('recall_score: %f' %metrics.recall_score(dev_labels,model_LG_L2.predict(dev_matrix_process_pca)))\nprint('precision_score: %f' %metrics.precision_score(dev_labels,model_LG_L2.predict(dev_matrix_process_pca)))"}, {'role': 'assistant', 'content': "['evaluation', 'modelling']"}]