Experimental Evaluation of Online Learning Algorithms

2014 
Economics ABSTRACT In this article I will start in the first part of the debate over the basic methods for performance evaluation of algorithms, i.e. starting with the evaluation criteria presentation online, after which I will describe the criteria that can be used for evaluation of online algorithms, after which I will describe the measurement errors. I mean, I will discuss the metrics used in Machine Learning, the average relative error, the relative root mean square of the error. In Part 3 I will discuss the methods used in the evaluation, after which I will discuss evaluation algorithms according to Friedman's test and Nemenyi Abstract . In this article I will start in the first part of the debate over the basic methods for performance evaluation of algorithms, i.e. starting with the evaluation criteria presentation online, after which I will describe the criteria that can be used for evaluation of online algorithms, after which I will describe the measurement errors. I mean, I will discuss the metrics used in Machine Learning, the average relative error, the relative root mean square of the error. In Part 3 I will discuss the methods used in the evaluation, after which I will discuss evaluation algorithms according to Friedman's test and Nemenyi
    • Correction
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []