Dataset_Adiac: The automatic diatoms identification.
In lweicdsor/OSTSC: Over Sampling for Time Series Classification
Description
Usage
Format
Details
Source
Description
The data is collected from a pilot study on automatic identification of
diatoms (unicellular algae) from images.
Usage
1
Format
A dataset with 781 observations and a sequence length of 176, with a single sequence per row.
The y data is the class label (1 or 0).
The x data constructs time series sequences (numeric).
The training dataset contains 390 observations.
The testing dataset contains 391 observations.
Details
The dataset originally had
37 classes. This built-in data sets one class as the positive class (class 1) and all others
are set to the negative class (class 0) to form a highly imbalanced dataset.
Source
http://timeseriesclassification.com/description.php?Dataset=Adiac
lweicdsor/OSTSC documentation built on May 8, 2019, 1:13 p.m.
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Description Usage Format Details Source
Description
The data is collected from a pilot study on automatic identification of diatoms (unicellular algae) from images.
Usage
1 |
Format
A dataset with 781 observations and a sequence length of 176, with a single sequence per row.
The y data is the class label (1 or 0).
The x data constructs time series sequences (numeric).
The training dataset contains 390 observations.
The testing dataset contains 391 observations.
Details
The dataset originally had 37 classes. This built-in data sets one class as the positive class (class 1) and all others are set to the negative class (class 0) to form a highly imbalanced dataset.
Source
http://timeseriesclassification.com/description.php?Dataset=Adiac
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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