Finally, the Stanford LittleDog has many learning algorithms installed, focusing on recovery and stabilization methods to combat problems such as unexpected slippage [16].
The problem transformation methods transform the multi-label classification problem either into one or more single-label classification or regression problems, and there have been many learning algorithms depending on transformation methods.
So far, many machine learning algorithms have been introduced, and many of them have been employed for both steps, including the techniques of feature selection [ 7], classification techniques, for example, K-NN [ 8], support vector machines [ 9, 10], and neural networks [ 11].
In many works, several approaches have been compared using the WEKA learning toolkit [8] because it incorporates many machine learning algorithms.
Many machine learning algorithms have been used for the creation of HRPS.
Weka is written in the Java programming language and has many machine learning algorithms available.
Generally, many supervised learning algorithms output some sort of probability estimate, but they need not be well calibrated.
As a consequence, Hoeffding trees have often been used as base models of many ensemble learning algorithms for online classification.
MLlib includes many machine learning algorithms such as classification, regression, clustering and collaborative filtering and useful tools such as featurization, machine learning pipelines, statistics and linear algebra utilities.
However, many machine learning algorithms do not have built-in outlier detection and such a large value may have undue influence over the final model, reducing performance.
