The ROC curve

 The ROC curve (receiver operating characteristic curve) is a graphical illustration that can be used to visualize and compare the quality...

Classical Decomposition of a time series

A time series is a data set that has a time component. Yes, it is just what you think about, in the optimal case you have one value in a fixed...

Seasonality and Random Determination

In this post we saw how the three components trend, seasonality and random of a time series. How to extract the trend was shown there, now we...

Trend determination with moving averages

We already saw in the previous post that you can decompose a trend from a time series. Here a classical approach how to determine an underlying...

Classical Decomposition - Summary

The classical decomposition of a time series can help to get an overview on the tendencies (trend component), periodic patterns (seasonal...

Sensitivity and Specificity

Apart from Accurancy and Precision there are othere measures for classification models. Today we will focus on another pair of classifiers,...

Averages

  Averages are a bad idea. Averages hide characteristics, individual properties and specialities behind one value. Nobody wants to be...

Decision Trees

One of the most important techniques for data analysis are decision trees. They are easy to understand, can illustrate complex rule sets...

Accuracy and Precision - How good is your classifier?

After successfully deciding on a classifier, after adjusting and optimizing the parameters on behalf of training data, it is time to evaluate...

How is the weather in the Black Forest? - Nearest Neighbour Approaches

Planning a city or hiking trip on the weekend, a barbequeue or a romantic picnic in the mountains requires a pretty good weather forecast....