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AI4I 2020 Predictive Maintenance Dataset

The AI4I 2020 Predictive Maintenance Dataset is a synthetic dataset that reflects real predictive maintenance data encountered in industry.

Classification, Regression, Causal-Discovery

Multivariate, Time-Series

10K Instances

14 Features

Higher Education Students Performance Evaluation

The data was collected from the Faculty of Engineering and Faculty of Educational Sciences students in 2019. The purpose is to predict students' end-of-term performances using ML techniques.

Classification

Multivariate

145 Instances

33 Features

Clickstream Data for Online Shopping

The dataset contains information on clickstream from online store offering clothing for pregnant women.

Classification, Regression, Clustering

Multivariate, Sequential

165.47K Instances

14 Features

Hierarchical Sales Data

This dataset contains hierarchical sales data gathered from an Italian grocery store

Clustering, Other

Time-Series

1.8K Instances

237 Features

Rocket League Skillshots

This dataset contains data of players of the game Rocket League, performing different skillshots.

Classification

Tabular, Time-Series

297 Instances

0 Features

TUANDROMD (Tezpur University Android Malware Dataset)

TUNADROMD dataset contains 4465 instances and 241 attributes. The target attribute for classification is a category (malware vs goodware). (N.B. This is the preprocessed version of TUANDROMD)

Classification

Multivariate

4.46K Instances

241 Features

SML2010

This dataset is collected from a monitor system mounted in a domotic house. It corresponds to approximately 40 days of monitoring data.

Regression

Multivariate, Sequential, Time-Series, Text

4.14K Instances

24 Features

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