| | --- |
| | license: cc-by-4.0 |
| | --- |
| | |
| | # Ionosphere Signals Dataset |
| | ## Overview |
| | This dataset contains tabular data for classifying radar returns from the ionosphere. Each sample is stored in a separate text file, with features space-separated on a single line. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application. |
| |
|
| | ## Dataset Structure |
| | The dataset is organized into the following structure: |
| |
|
| | Ionosphere-Signals/ |
| | train_data/ |
| | class_good/ |
| | sample_0.txt |
| | sample_1.txt |
| | ... |
| | class_bad/ |
| | sample_0.txt |
| | sample_1.txt |
| | ... |
| | test_data/ |
| | class_good/ |
| | sample_0.txt |
| | sample_1.txt |
| | ... |
| | class_bad/ |
| | sample_0.txt |
| | sample_1.txt |
| | ... |
| | |
| | **Note**: All text file names must be unique across all class folders. |
| |
|
| | ## Features |
| | - **Tabular Data**: Each text file contains space-separated values representing the features of a sample. |
| | - **Classes**: There are two classes, each represented by a separate folder based on the type of radar return. |
| |
|
| | ## Usage (pre-split; optimal parameters) |
| | Here is an example of how to load the dataset using PrismRCL: |
| | ```bash |
| | C:\PrismRCL\PrismRCL.exe chisquared rclticks=25 boxdown=0 channelpick=5 data=C:\path\to\Ionosphere-Signals\train_data testdata=C:\path\to\Ionosphere-Signals\test_data savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone |
| | ``` |
| |
|
| | Explanation of Command: |
| | - `C:\PrismRCL\PrismRCL.exe`: Path to the PrismRCL executable for classification |
| | - `chisquared`: Specifies Chi-squared as the training evaluation method |
| | - `rclticks=25`: Sets the number of RCL iterations during training to 25 |
| | - `boxdown=0`: Configuration parameter for training behavior |
| | - `channelpick=5`: RCL training parameter |
| | - `data=C:\path\to\Ionosphere-Signals\train_data`: Path to the training data for Ionosphere Signals classification |
| | - `testdata=C:\path\to\Ionosphere-Signals\test_data`: Path to the testing data for evaluation |
| | - `savemodel=C:\path\to\models\mymodel.classify`: Path to save the resulting trained model |
| | - `log=C:\path\to\log_files`: Directory path for storing log files of the training process |
| | - `stopwhendone`: Instructs PrismRCL to end the session once training is complete |
| |
|
| | ## License |
| | This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details. |
| |
|
| | ## Original Source |
| | This dataset was originally sourced from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/52/ionosphere). Please cite the original source if you use this dataset in your research or applications. |
| |
|
| | ``` |
| | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [https://archive.ics.uci.edu/dataset/52/ionosphere]. Irvine, CA: University of California, School of Information and Computer Science. |
| | ``` |
| |
|
| | ## Additional Information |
| | The data values have been prepared to ensure compatibility with PrismRCL. No normalization is required as of version 2.4.0. |
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