<jupyter_start><jupyter_text>Example usage of train_test_plot  Documentation<jupyter_code>from train_test_plot import train_test_plot

print(train_test_plot.__doc__)
import pandas as pd

# Load Dataset
df = pd.read_csv('glass.csv')

# Target variable
target='Glass Class'

train_test_plot_def(df=df, target=target, algos='L,K,S,D,R,X', size=5)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10991957104557641, 'fraction_numerical': 0.002680965147453083, 'mean_word_length': 9.38888888888889, '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': '310112', 'license': 'MIT', 'n_tokens_mistral': 145, 'n_tokens_neox': 142, 'n_words': 25, 'path': 'Example_def.ipynb', 'repo_name': 'debdarsan/train_test_plot_def', 'size': '373'}