gina_prior2
OpenML dataset with id 1041
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/53924/gina_prior2.arff
Upload date: 6 October 2014
Dataset Characteristics
Number of classes: 10
Number of features: 785 (numeric: 784, symbolic: 1 and in total binary: 0 )
Number of instances: 3,468
Number of instances with missing values: 0
Number of missing values: 0
Author: Source: Unknown - Date unknown Please cite:
Note: Identical to the MNIST dataset?
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch)
Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php
Modified by TunedIT (converted to ARFF format)
GINA is digit recognition database
The task of GINA is handwritten digit recognition.
Data type: non-sparse
Number of features: 784
Number of examples and check-sum:
Tot_ex Check_sum
3468 90979365.00
This page was built for dataset: gina_prior2