[{'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:embed_length = 32\nmodel = Sequential()\nmodel.add(Embedding(top_k,embed_length,input_length = max_rev_length))\nmodel.add(LSTM(100,dropout_W=0.2,dropout_U=0.2))\nmodel.add(Dense(1,activation = \'sigmoid\'))\nmodel.compile(loss=\'binary_crossentropy\', optimizer=\'adam\', metrics=[\'accuracy\'])\nprint(model.summary())\nmodel.fit(X_train,y_train,nb_epoch = 3, batch_size=64)\nscores = model.evaluate(X_test,y_test,verbose = 0)\nprint("Accuracy:  %.2f%%" % (scores[1]*100))'}, {'role': 'assistant', 'content': "['evaluation', 'modelling']"}]