<jupyter_start><jupyter_text>If we look at one particular installation_id, we can see that it is truncated at the start of an assessment (in this case, "Chest Sorter").<jupyter_code>df.query("installation_id == '2ab22ff2'")<jupyter_output><empty_output><jupyter_text>A list of the assessment to predict for each installation_id<jupyter_code>df.groupby('installation_id')[['installation_id', 'title']].tail(1).sort_values('installation_id')
sample = pd.read_csv('../data/raw/sample_submission.csv')
sample
sample2 = sample.copy()
sample2.accuracy_group = 2
sample2<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12478920741989882, 'fraction_numerical': 0.01517706576728499, 'mean_word_length': 8.580645161290322, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '386383', 'license': 'FTL', 'n_tokens_mistral': 207, 'n_tokens_neox': 203, 'n_words': 44, 'path': 'notebooks/tlh_1.02_view_test.ipynb', 'repo_name': 'TheKaggleKings/kaggle-data-science-bowl', 'size': '593'}