In [1]:

from krmining.datasets import make_dummy_data_classification

from krmining.datasets import make_dummy_data_classification

Make dataset¶

In [2]:

df = make_dummy_data_classification()

df.head()

df = make_dummy_data_classification() df.head()

Out[2]:

	0	1
0	22	1
1	23	1
2	21	1
3	18	1
4	19	1

In [3]:

df.info()

df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 10 entries, 0 to 9
Data columns (total 2 columns):
 #   Column  Non-Null Count  Dtype
---  ------  --------------  -----
 0   0       10 non-null     int64
 1   1       10 non-null     int64
dtypes: int64(2)
memory usage: 288.0 bytes