Objective

• classify the digit contained in a image.

Data type

• We have images such as

• with annotated labels

## train_labels
##    0    1    2    3    4    5    6    7    8    9 
## 5923 6742 5958 6131 5842 5421 5918 6265 5851 5949

Problem type

• Multiclass classification based on image data.

Objective

• classify a movie review as either positive or negative.

Data type

• We have text data

## [1] "? this film was just brilliant casting location scenery story direction everyone's really suited the part they played and you could just imagine being there robert redford's is an amazing actor and now the same being director norman's father came from the same scottish island as myself so i loved the fact there was a real connection with this film the witty remarks throughout the film were great it was just brilliant so much that i bought the film as soon as it was released for retail and would recommend it to everyone to watch and the fly fishing was amazing really cried at the end it was so sad and you know what they say if you cry at a film it must have been good and this definitely was also congratulations to the two little boy's that played the part's of norman and paul they were just brilliant children are often left out of the praising list i think because the stars that play them all grown up are such a big profile for the whole film but these children are amazing and should be praised for what they have done don't you think the whole story was so lovely because it was true and was someone's life after all that was shared with us all"

• with annotated labels where 0 stands for negative and 1 stands for positive.

## train_labels
##     0     1 
## 12500 12500

Problem type

• binary classification based on text data.

Objective

• classify short news stories into one of 46 topics available.

Data type

• We have text data

## [1] "? ? ? said as a result of its december acquisition of space co it expects earnings per share in 1987 of 1 15 to 1 30 dlrs per share up from 70 cts in 1986 the company said pretax net should rise to nine to 10 mln dlrs from six mln dlrs in 1986 and rental operation revenues to 19 to 22 mln dlrs from 12 5 mln dlrs it said cash flow per share this year should be 2 50 to three dlrs reuter 3"

• with annotated labels going from 0 to 45

## train_labels
##    0    1    2    3    4    5    6    7    8    9   10   11   12   13   14 
##   55  432   74 3159 1949   17   48   16  139  101  124  390   49  172   26 
##   15   16   17   18   19   20   21   22   23   24   25   26   27   28   29 
##   20  444   39   66  549  269  100   15   41   62   92   24   15   48   19 
##   30   31   32   33   34   35   36   37   38   39   40   41   42   43   44 
##   45   39   32   11   50   10   49   19   19   24   36   30   13   21   12 
##   45 
##   18

Problem type

• multiclass classification based on text data.

Objective

• Predict the median price of homes in a given Boston suburb in the mid-1970s, given data points about the suburb at the time, such as the crime rate, the local property tax rate, and so on.

Data type

• We have a small dataset and 13 numerical features

##  num [1:404, 1:13] 1.2325 0.0218 4.8982 0.0396 3.6931 ...

• The targets are the median values of owner-occupied homes, in thousands of dollars:

##  num [1:404(1d)] 15.2 42.3 50 21.1 17.7 18.5 11.3 15.6 15.6 14.4 ...

Problem type

• regression based on numerical features.