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1 0 0.05866 -0.00838 0.06704 0.00838 0.0 -0.01117 0.00559 -0.03911 0.01676 -0.07542 -0.00559 0.05307 0.06425 -0.03352 0.0 0.09497 -0.06425 0.07542 -0.04749 0.02514 0.02793 -0.00559 0.00838 0.00559 0.10335 -0.00838 0.03073 -0.00279 0.04469 0.0 0.04749 -0.03352 |
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1 0 0.03852 0.02568 0.00428 0.0 0.01997 -0.01997 0.0214 -0.04993 -0.0485 -0.01284 0.01427 -0.02282 0.0 -0.03281 -0.04708 -0.02853 -0.01712 0.03566 0.0214 0.00428 0.05136 -0.02282 0.05136 0.01854 0.03994 0.01569 0.01997 0.00713 -0.02568 -0.01854 -0.01427 0.01997 |
1 0 0.08696 0.00686 0.13959 -0.04119 0.10526 -0.08238 0.12586 -0.06178 0.23341 -0.01144 0.12357 0.0778 0.14645 -0.13501 0.29062 -0.04805 0.18993 0.07323 0.1167 0.0 0.11213 -0.00229 0.15103 -0.10297 0.08467 0.01373 0.11213 -0.06636 0.09611 -0.07323 0.1167 -0.06865 |
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1 0 0.1859 -0.16667 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.11538 -0.19071 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.05128 -0.06571 0.07853 0.08974 0.17308 -0.10897 0.125 0.09615 0.02564 -0.04808 0.16827 0.19551 |
1 0 1.0 1.0 -1.0 1.0 -1.0 -0.82456 0.34649 0.21053 0.46053 0.07018 0.22807 0.05702 0.35088 0.34649 0.72807 -0.03947 0.22807 0.5307 0.0 0.0 -0.29825 -0.16228 1.0 -0.66667 1.0 -1.0 1.0 -0.24561 0.35088 0.20175 0.82895 0.07895 |
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1 0 -1.0 -1.0 -0.50694 1.0 1.0 -1.0 1.0 0.53819 0.0 0.0 0.23958 -1.0 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 -0.71528 1.0 0.33333 -1.0 1.0 -1.0 0.69792 -1.0 0.47569 1.0 |
0 0 -1.0 1.0 -1.0 -1.0 0.0 0.0 -1.0 1.0 1.0 -1.0 -1.0 -1.0 -1.0 1.0 0.0 0.0 -1.0 -1.0 -1.0 1.0 0.0 0.0 1.0 -1.0 1.0 1.0 1.0 -1.0 1.0 1.0 0.0 0.0 |
0 0 1.0 -1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 -1.0 -0.71875 1.0 0.0 0.0 -1.0 1.0 1.0 1.0 -1.0 1.0 1.0 0.5625 -1.0 1.0 1.0 1.0 1.0 -1.0 1.0 1.0 1.0 1.0 |
0 0 -1.0 -1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 0.0 0.0 -1.0 -1.0 0.0 0.0 1.0 1.0 1.0 -1.0 1.0 -1.0 0.0 0.0 0.0 0.0 0.0 0.0 |
1 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -0.33333 0.16667 0.26042 0.0 0.0 0.0 0.0 0.0 0.0 -0.19792 -0.21875 -0.16667 0.90625 -1.0 0.5 0.04167 0.75 -0.22917 -1.0 -0.125 -0.27083 -0.19792 -0.9375 |
1 0 1.0 -0.09524 -1.0 -1.0 -1.0 -1.0 1.0 0.31746 0.81349 0.7619 -1.0 -1.0 -1.0 1.0 0.47364 1.0 1.0 1.0 0.68839 -1.0 -1.0 -1.0 0.82937 0.36508 1.0 1.0 1.0 0.50794 -1.0 -0.3254 -1.0 0.72831 |
1 0 1.0 -1.0 1.0 1.0 1.0 1.0 1.0 -0.5 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 -1.0 1.0 1.0 1.0 0.625 1.0 -0.75 -0.75 1.0 1.0 1.0 |
1 0 0.36876 -1.0 -1.0 -1.0 -0.07661 1.0 1.0 0.95041 0.74597 -0.3871 -1.0 -0.79313 -0.09677 1.0 0.48684 0.46502 0.31755 -0.27461 -0.14343 -0.20188 -0.11976 0.06895 0.03021 0.06639 0.03443 -0.01186 -0.00403 -0.01672 -0.00761 0.00108 0.00015 0.00325 |
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1 0 -0.00641 -0.5 0.0 0.0 -0.01923 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3141 0.92949 -0.35256 0.74359 -0.34615 -0.80769 0.0 0.0 -0.61538 -0.51282 0.0 0.0 0.0 0.0 0.0 0.0 |
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1 0 -1.0 -0.59677 0.0 0.0 -1.0 0.64516 -0.87097 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -1.0 -1.0 0.0 0.0 0.29839 0.23387 1.0 0.51613 0.0 0.0 0.0 0.0 0.0 0.0 |
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0 0 0.0 0.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 -1.0 -1.0 0.0 0.0 -1.0 -1.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 1.0 1.0 0.0 0.0 -1.0 1.0 0.0 0.0 |
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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 or API.
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
Here is an example of how to load the dataset using PrismRCL:
C:\PrismRCL\PrismRCL.exe chisquared rclticks=10 boxdown=0 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:
C:\PrismRCL\PrismRCL.exe: classification applicationchisquared: training evaluation methodrclticks=10: RCL training parameterboxdown=0: RCL training parameterdata=C:\path\to\Ionosphere-Signals\train_data: path to training datatestdata=C:\path\to\Ionosphere-Signals\test_data: path to testing datasavemodel=C:\path\to\models\mymodel.classify: path to save resulting modellog=C:\path\to\log_files: path to logfilesstopwhendone: ends the PrismRCL session when training is done
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. 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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