gisettetrainlabs: Labels for data that represent 4 or 9 in image recognition....
In naveedmerchant/BayesScreening: Classical and Bayesian Screening for Binary Classification
gisettetrainlabs R Documentation
Labels for data that represent 4 or 9 in image recognition. It is unknown which label corresponds to which image. This data set was given as a blind classification problem by NIPS in 2003. The competition involves guessing what some validation labels were. These were the training labels ued for statisticains to train their models before submission.
Description
Labels for data that represent 4 or 9 in image recognition. It is unknown which label corresponds to which image. This data set was given as a blind classification problem by NIPS in 2003. The competition involves guessing what some validation labels were. These were the training labels ued for statisticains to train their models before submission.
Usage
gisettetrainlabs
Format
A named matrix with 6000 rows and 1 column, each value is -1 or 1 and corresponds to whether or not an image is a 4 or 9 in the training data set.
Source
naveedmerchant/BayesScreening documentation built on June 13, 2024, 7:56 a.m.
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Labels for data that represent 4 or 9 in image recognition. It is unknown which label corresponds to which image. This data set was given as a blind classification problem by NIPS in 2003. The competition involves guessing what some validation labels were. These were the training labels ued for statisticains to train their models before submission.
Description
Labels for data that represent 4 or 9 in image recognition. It is unknown which label corresponds to which image. This data set was given as a blind classification problem by NIPS in 2003. The competition involves guessing what some validation labels were. These were the training labels ued for statisticains to train their models before submission.
Usage
gisettetrainlabs
Format
A named matrix with 6000 rows and 1 column, each value is -1 or 1 and corresponds to whether or not an image is a 4 or 9 in the training data set.
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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