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stringlengths 36
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13.74 14.05 0.8744 5.482 3.114 2.932 4.825 |
14.29 14.09 0.905 5.291 3.337 2.699 4.825 |
14.16 14.4 0.8584 5.658 3.129 3.072 5.176 |
14.11 14.26 0.8722 5.52 3.168 2.688 5.219 |
12.08 13.23 0.8664 5.099 2.936 1.415 4.961 |
15.78 14.91 0.8923 5.674 3.434 5.593 5.136 |
11.42 12.86 0.8683 5.008 2.85 2.7 4.607 |
18.55 16.22 0.8865 6.153 3.674 1.738 5.894 |
19.15 16.45 0.889 6.245 3.815 3.084 6.185 |
16.17 15.38 0.8588 5.762 3.387 4.286 5.703 |
18.94 16.32 0.8942 6.144 3.825 2.908 5.949 |
19.51 16.71 0.878 6.366 3.801 2.962 6.185 |
18.59 16.05 0.9066 6.037 3.86 6.001 5.877 |
16.87 15.65 0.8648 6.139 3.463 3.696 5.967 |
12.26 13.6 0.8333 5.408 2.833 4.756 5.36 |
11.36 13.05 0.8382 5.175 2.755 4.048 5.263 |
12.05 13.41 0.8416 5.267 2.847 4.988 5.046 |
11.35 13.12 0.8291 5.176 2.668 4.337 5.132 |
11.55 13.1 0.8455 5.167 2.845 6.715 4.956 |
10.8 12.57 0.859 4.981 2.821 4.773 5.063 |
12.19 13.36 0.8579 5.24 2.909 4.857 5.158 |
15.26 14.84 0.871 5.763 3.312 2.221 5.22 |
14.88 14.57 0.8811 5.554 3.333 1.018 4.956 |
15.26 14.85 0.8696 5.714 3.242 4.543 5.314 |
14.03 14.16 0.8796 5.438 3.201 1.717 5.001 |
13.89 14.02 0.888 5.439 3.199 3.986 4.738 |
13.78 14.06 0.8759 5.479 3.156 3.136 4.872 |
14.59 14.28 0.8993 5.351 3.333 4.185 4.781 |
13.99 13.83 0.9183 5.119 3.383 5.234 4.781 |
15.69 14.75 0.9058 5.527 3.514 1.599 5.046 |
14.7 14.21 0.9153 5.205 3.466 1.767 4.649 |
12.72 13.57 0.8686 5.226 3.049 4.102 4.914 |
15.88 14.9 0.8988 5.618 3.507 0.7651 5.091 |
15.01 14.76 0.8657 5.789 3.245 1.791 5.001 |
16.19 15.16 0.8849 5.833 3.421 0.903 5.307 |
13.02 13.76 0.8641 5.395 3.026 3.373 4.825 |
12.74 13.67 0.8564 5.395 2.956 2.504 4.869 |
14.11 14.18 0.882 5.541 3.221 2.754 5.038 |
13.45 14.02 0.8604 5.516 3.065 3.531 5.097 |
13.84 13.94 0.8955 5.324 3.379 2.259 4.805 |
13.16 13.82 0.8662 5.454 2.975 0.8551 5.056 |
15.49 14.94 0.8724 5.757 3.371 3.412 5.228 |
14.09 14.41 0.8529 5.717 3.186 3.92 5.299 |
13.94 14.17 0.8728 5.585 3.15 2.124 5.012 |
15.05 14.68 0.8779 5.712 3.328 2.129 5.36 |
16.12 15.0 0.9 5.709 3.485 2.27 5.443 |
16.2 15.27 0.8734 5.826 3.464 2.823 5.527 |
17.08 15.38 0.9079 5.832 3.683 2.956 5.484 |
14.8 14.52 0.8823 5.656 3.288 3.112 5.309 |
14.28 14.17 0.8944 5.397 3.298 6.685 5.001 |
16.14 14.99 0.9034 5.658 3.562 1.355 5.175 |
13.54 13.85 0.8871 5.348 3.156 2.587 5.178 |
13.5 13.85 0.8852 5.351 3.158 2.249 5.176 |
13.16 13.55 0.9009 5.138 3.201 2.461 4.783 |
15.5 14.86 0.882 5.877 3.396 4.711 5.528 |
15.11 14.54 0.8986 5.579 3.462 3.128 5.18 |
13.8 14.04 0.8794 5.376 3.155 1.56 4.961 |
15.36 14.76 0.8861 5.701 3.393 1.367 5.132 |
14.99 14.56 0.8883 5.57 3.377 2.958 5.175 |
14.79 14.52 0.8819 5.545 3.291 2.704 5.111 |
14.86 14.67 0.8676 5.678 3.258 2.129 5.351 |
14.38 14.21 0.8951 5.386 3.312 2.462 4.956 |
14.43 14.4 0.8751 5.585 3.272 3.975 5.144 |
14.49 14.61 0.8538 5.715 3.113 4.116 5.396 |
14.33 14.28 0.8831 5.504 3.199 3.328 5.224 |
14.52 14.6 0.8557 5.741 3.113 1.481 5.487 |
15.03 14.77 0.8658 5.702 3.212 1.933 5.439 |
14.46 14.35 0.8818 5.388 3.377 2.802 5.044 |
14.92 14.43 0.9006 5.384 3.412 1.142 5.088 |
15.38 14.77 0.8857 5.662 3.419 1.999 5.222 |
12.11 13.47 0.8392 5.159 3.032 1.502 4.519 |
14.69 14.49 0.8799 5.563 3.259 3.586 5.219 |
11.23 12.63 0.884 4.902 2.879 2.269 4.703 |
12.36 13.19 0.8923 5.076 3.042 3.22 4.605 |
13.22 13.84 0.868 5.395 3.07 4.157 5.088 |
12.78 13.57 0.8716 5.262 3.026 1.176 4.782 |
12.88 13.5 0.8879 5.139 3.119 2.352 4.607 |
14.34 14.37 0.8726 5.63 3.19 1.313 5.15 |
14.01 14.29 0.8625 5.609 3.158 2.217 5.132 |
14.37 14.39 0.8726 5.569 3.153 1.464 5.3 |
12.73 13.75 0.8458 5.412 2.882 3.533 5.067 |
14.11 14.1 0.8911 5.42 3.302 2.7 5.0 |
16.63 15.46 0.8747 6.053 3.465 2.04 5.877 |
16.44 15.25 0.888 5.884 3.505 1.969 5.533 |
16.41 15.25 0.8866 5.718 3.525 4.217 5.618 |
17.99 15.86 0.8992 5.89 3.694 2.068 5.837 |
19.46 16.5 0.8985 6.113 3.892 4.308 6.009 |
19.18 16.63 0.8717 6.369 3.681 3.357 6.229 |
18.95 16.42 0.8829 6.248 3.755 3.368 6.148 |
18.83 16.29 0.8917 6.037 3.786 2.553 5.879 |
18.85 16.17 0.9056 6.152 3.806 2.843 6.2 |
17.63 15.86 0.88 6.033 3.573 3.747 5.929 |
19.94 16.92 0.8752 6.675 3.763 3.252 6.55 |
18.45 16.12 0.8921 6.107 3.769 2.235 5.794 |
19.38 16.72 0.8716 6.303 3.791 3.678 5.965 |
19.13 16.31 0.9035 6.183 3.902 2.109 5.924 |
19.14 16.61 0.8722 6.259 3.737 6.682 6.053 |
20.97 17.25 0.8859 6.563 3.991 4.677 6.316 |
19.06 16.45 0.8854 6.416 3.719 2.248 6.163 |
18.96 16.2 0.9077 6.051 3.897 4.334 5.75 |
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Wheat Seeds Dataset
Overview
This dataset contains tabular data for classifying different varieties of wheat seeds. 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:
Wheat-Seeds/
train_data/
class_1/
sample_0.txt
sample_1.txt
...
class_2/
sample_0.txt
sample_1.txt
...
class_3/
sample_0.txt
sample_1.txt
...
test_data/
class_1/
sample_0.txt
sample_1.txt
...
class_2/
sample_0.txt
sample_1.txt
...
class_3/
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 three classes, each represented by a separate folder.
Usage
Here is an example of how to load the dataset using PrismRCL:
C:\PrismRCL\PrismRCL.exe auto-optimize data=C:\path o\Wheat-Seeds rain_data log=C:\path o\log_files
License
This dataset is licensed under the Creative Commons Attribution 4.0 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/236/seeds]. 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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