Test

m

n

# -1

# 1

γ

Description

1

Riccardo

18201

4295

3201

15000

0.500

https://www.openml.org/d/41161

2

Magictelescope

19020

11

12332

6573

0.500

Data are MC generated to simulate registration of high energy gamma particles in an atmospheric Cherenkov telescope.

3

2d_planes

26714

10

13369

13345

2.000

https://www.openml.org/d/727

4

Nomao

32062

118

22251

9811

5.000

The dataset has been enriched during the Nomao Challenge: organized along with the ALRA workshop.

5

Webdata_wXa

36974

123

8874

28100

1.000

https://www.openml.org/d/350

6

Fried

40768

10

20341

20427

5.000

https://www.openml.org/d/901

7

Bank-marketing

45211

16

5289

39922

2.000

https://www.openml.org/d/1461. The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (or not) subscribed.

8

Electricity

45312

8

19237

26075

5.000

This data was collected from the Australian New South Wales Electricity Market. In this market, prices are not fixed and are affected by demand and supply of the market. https://www.openml.org/d/151

9

Run_or_walk_information

88588

6

44365

44223

1.000

This dataset describes whether a person is running or walking based on deep neural networks and sensor data collected from iOS devices.

10

Numerai28.6

96320

21

48658

47662

1.000

Encrypted Stock Market Training Data from Numer.ai.

11

VehicleNorm

98528

101

49264

49264

1.000

Vehicle classification in distributed sensor networks. https://www.openml.org/d/1242.