Looking for a dataset that meets the following criteria:
Multi-class, 3+ labels, preferably not binary.
Tabulardata, not images.
- Getting above
65-85%prediction accuracy is a challenge. In general, high prediction accuracy would be seen as a struggle.
I am hoping to prove some potentially novel classification methods. To date, I have been working with the classic Iris, Abalone, Sonar, and Kaggle Zoo datasets - while scouring Kaggle for more.
Anyone know of a toughie? Even if it is your own data.