TAG: binary

Higgs Boson

The data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22) are kinematic properties measured by the particle detectors in the accelerator. The last seven features are functions of the first 21 features; these are high-level features derived by physicists to help discriminate between the two classes. There is an interest […]

Churn problem

Our case study is a bank that wants to develop a churn model to predict the probability of a customer to churn. The banking sector has become one of the main industries in developed countries. The technical progress and the increasing number of banks raised the level of competition. Banks are working hard to survive […]

IBM Watson Sales Win Loss

Data from IBM Watson tutorials.


Predict if a new client is going to get a loan or not based on historical data.

Heart disease

The aim is to find whether or not a person has heart disease based on information about their health.

Binary Success

Let´s prepare a simple example where we can verify that Dataslayer ML learns from a predefined data logic. The ML will discover this logic.

Adult Income

An individual’s annual income results from various factors. Intuitively, it is influenced by the individual’s education level, age, gender, occupation, and etc.

Breast cancer

Detect if a tumour is benign or malignant.

Titanic survival

The Titanic dataset is a compilation of data from the ship’s passengers. These features range from age, gender to class cabin. There is also a column in the dataset where passengers are classified as ‘Survived’ or ‘Not survived’ from the sink. The RMS Titanic sank in the North Atlantic Ocean in the early hours of […]