#scikit learn

Evaluating car class using the k nearest neighbor algorithm from the scikit-learn Machine learning library in Python

In this post, I am going to give a quick tutorial how to use knn in sklearn to evaluate a car class. The dataset is from the UCI Machine learning repository https://archive.ics.uci.edu/ml/datasets/car+evaluation. You can download the dataset from this location from the data folder link to follow the tutorial. Also read more about the dataset and understand the description of the dataset. The…

[NLP] The TF-IDF In Text Mining

TF-IDF (Term Frequency – Inverse Document Frequency) is a famous word weighting technology, it can show the importance of words to texts. Continue reading

Cross-validation is an important concept in data splitting of machine learning. Simply to put, when we want to train a model, we need to split data to training data and testing data. Continue reading

Precision, Recall, and F1-score are three fairly well-known model evaluation indicators, which are mostly used for binary classification (if it is a multi-classification, it is suitable for macro and micro). The following is a brief description of these different indicators: (more…)