{'fraction_non_alphanumeric': 0.02631578947368421, 'fraction_numerical': 0.0, 'mean_word_length': 5.720588235294118, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, '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}}
Predicting the occurrence of strokes using the language R

Probability of stroke is analyzed based on data from Stroke.md system. Selection of features that significantly affect target variable was made. To solve the problem, classification algorithms are used: support vector machines, logistic regression, decision trees, random forest and others; comparison of the resulting mathematical models; preprocessing and building models produced in R-language.