Looking for a dataset that meets the following criteria:
-
Multi-class
, 3+ labels, preferably not binary. -
Tabular
data, 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.