Crystal-System-Properties-for-Li-ion-batteries
OpenML dataset with id 43433
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Full work available at URL: https://api.openml.org/data/v1/download/22102258/Crystal-System-Properties-for-Li-ion-batteries.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 11 (numeric: 6, symbolic: 1 and in total binary: 1 )
Number of instances: 339
Number of instances with missing values: 0
Number of missing values: 0
This dataset contains data about the physical and chemical properties of the Li-ion silicate cathodes. These properties can be useful to predict the class of a Li-ion battery. These batteries can be classified on the basis of their crystal system. Three major classes of crystal system include: monoclinic, orthorhombic and triclinic. Go play out with the dataset to predict the battery classes with any classification algorithm you want!
This page was built for dataset: Crystal-System-Properties-for-Li-ion-batteries
