From: Using discretization for extending the set of predictive features
Dataset | Attributes | Average features from D-MIAT | Range | Dataset | Attributes | Average features from D-MIAT | Range |
---|---|---|---|---|---|---|---|
Abalone | 8 | 0 | - | Penbased | 16 | 0 | - |
Arrhythmia | 279 | 0 | - | Pendigits | 16 | 0 | - |
Glass | 9 | 12.9 | 12–15 | Pima | 8 | 3.1 | 3–4 |
Heart | 13 | 6.8 | 6–7 | Satimage | 36 | 128.2 | 127–130 |
Ionosphere | 33 | 26.1 | 22–31 | Segment | 19 | 97.6 | 96–10 |
Iris | 4 | 20 | 19–21 | Sonar | 60 | 18.2 | 15–20 |
Jm1 | 21 | 0 | - | Spambase | 57 | 32.9 | 31–35 |
Madelon | 500 | 0 | - | Spectrometer | 102 | 0 | - |
Mc1 | 38 | 12 | 12 | Texture | 40 | 0 | - |
Mfeat-factors | 216 | 0 | - | Thyroid | 21 | 1 | 1 |
Mfeat-fourier | 76 | 0 | - | Vowel | 13 | 0 | - |
Mfeat-karhunen | 64 | 0 | - | Waveform | 40 | 39.5 | 37–42 |
Mfeat-zernike | 47 | 0 | - | Winequality-red | 11 | 3.9 | 3–4 |
Pc2 | 36 | 17.2 | 17–19 | Winequality-white | 4 | 2.7 | 2–4 |