Some Data for Machine Learning

Dr. Ahmet Bingül
Department of Engineering Physics
Gaziantep University

See also:
Center for Machine Learning and Intelligent Systems
https://archive.ics.uci.edu/ml/datasets.php

DATA FILE SIZE (row x col) CATEGORY INPUT(S) OUTPUT(S) DESCRIPTION
data_projectile.txt
data_projectile.xls
500x3 Regression (fitting) input = data(:,1:2) output= data(:,3) The aim is to get maximum range of a projectile as a function of initial speed and angle by considering air friction
data_nisasta.txt
data_nisasta.xls
385x7 Regression (fitting) input = data(:,1:3) output= data(:,4:7) Consider some amount of starch and two types of enzymes are placed in a container to producde certain amounts of Dextrose, Maltose, D3, DP as a function of time.
data_iris.txt
data_iris.xls
150x5 Classification input = data(:,1:4) output= data(:,5) The aim is to classify the type of a iris flower from its leaf length and width.
data_seeds.txt
data_seeds.xls
210x8 Classification input = data(:,1:7) output= data(:,8) The aim is to classify the type of a seed from geometric parameters
data_rent.txt
data_rent.xls
24x3 Classification input = data(:,1:2) output= data(:,3) The aim is to determine the district in Istanbul from area of house and its rent price
data_diyabet.txt
data_diyabet.xls
768x9 Classification input = data(:,1:8) output= data(:,9) Diabetes Database
machinelearningmastery.com
data_sunspot.txt (montly)
data_sunspot.txt (yearly)
data_sunspot.xls (both)
3267x1
321x1
-
Time Series input = - output= data(:,3)
output =data(:,2)
-
Both monthly and yearly mean total sunspot numbers observed between [1700, 2021]
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