<jupyter_start><jupyter_text>Now we create our cross validation scores<jupyter_code>y
from sklearn.cross_validation import cross_val_score
# http://scikit-learn.org/stable/modules/cross_validation.html#computing-cross-validated-metrics
scores = cross_val_score(dt,x,y,cv=10) #We're passing in our values and getting an array of values back
import numpy as np
np.mean(scores) #here we get our average result<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.0871559633027523, 'fraction_numerical': 0.0045871559633027525, 'mean_word_length': 7.403846153846154, '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': '196729', 'license': 'MIT', 'n_tokens_mistral': 145, 'n_tokens_neox': 140, 'n_words': 37, 'path': '09 More Trees/DecisionTree-CrossValidation.ipynb', 'repo_name': 'barjacks/algorithms_mine', 'size': '436'}