<jupyter_start><jupyter_text>**SHAP Analysis**<jupyter_code>minmaxscaler = MinMaxScaler()
shap.initjs()

shap_values = shap.TreeExplainer(xg_reg).shap_values(data[['Latitude', 'Longitude', 'numeric_timestamp']][:450])
shap.summary_plot(shap_values, data[['Latitude', 'Longitude', 'numeric_timestamp']][:450], plot_type="bar")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.18309859154929578, 'fraction_numerical': 0.016901408450704224, 'mean_word_length': 16.8, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '655849', 'license': 'MIT', 'n_tokens_mistral': 144, 'n_tokens_neox': 138, 'n_words': 13, 'path': 'challenges/cmojidra_Headstorm/cmojidraDataScience/cmojidra_headstorm_datascience.ipynb', 'repo_name': 'cmojidra/Interview', 'size': '355'}