In [3]:

import pandas as pd

Classifying Experiments¶

Again let's use the Toy Dataset:

In [4]:

toy_dataset = pd.read_csv('toy_dataset.csv')
toy_dataset.head()

Out[4]:

	Number	City	Gender	Age	Income	Illness
0	1	Dallas	Male	41	40367.0	No
1	2	Dallas	Male	54	45084.0	No
2	3	Dallas	Male	42	52483.0	No
3	4	Dallas	Male	40	40941.0	No
4	5	Dallas	Male	46	50289.0	No

For the following experiments you will have to decide whether it is a random experiment or a deterministic one. You can either deduce it by reading the code or you can try running the experiment and seeing what happens!

How many times should you try an experiment to be confident it is deterministic?

Once yo have your answer, assign the string 'random' or 'deterministic' to the variable experiment_n_is (where n is the experiment number). The first one will be done as an example.

In [5]:

def experiment_1():
    person = toy_dataset.sample(1)
    if person['Gender'].values[0] == 'Male':
        return person['Income'].values[0]
    else:
        return person['Age'].values[0]

In [6]:

experiment_1_is = 'random'

--- How to assert the right answers? Should we do this with learn? Or import a different notebook with the answers?---

In [7]:

def experiment_2():
    person = toy_dataset.sample(1) 
    if person['Income'].values[0] < 35000:
        return person['Gender'].values[0]
    else:
        return 'Male'

In [8]:

experiment_2_is =

  File "<ipython-input-8-9ebbe2632f4c>", line 1
    experiment_2_is =
                      ^
SyntaxError: invalid syntax

In [ ]:

def experiment_3():
    person = toy_dataset.sample(1) 
    if person['Gender'].values[0] == 'Male':
        return person['Gender'].values[0]
    else:
        return 'Male'

In [ ]:

experiment_3_is =

In [ ]:

def experiment_4():
    person = toy_dataset.sample(1)

In [ ]:

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Assignment 1.1.1: Classifying Experiments

Classifying Experiments¶