03 - Spain

[erwangranger]

This is the thread where you can paste your notes based on the mission.

[erwangranger]

I tried with 0.5 , but that was silly. it should have been 0.3.

[camille-sophiie]

make sure to pip install the required libraries

[syntaxsdev]

My first thoughts was to just run the entire notebook to see what worked.

Clicking run caused packages that weren't installed to be identified, I didn't know how to access the terminal, so I did a !pip install xxx in a cell above.

Next error I set it to 0.3 because 30% of the data should be used for training

Then I continued to run through and read the comments.

I then showed plt.show_me_the_stars() to .show() to show the confusion matrix.

[NelsonLomboPaez]

Mission Spain

On the train model, we have the following error:

InvalidParameterError: The 'test_size' parameter of train_test_split must be a float in the range (0.0, 1.0), an int in the range [1, inf) or None. Got 1.5 instead.

since we are splitting the data like this:

X_train, X_test, y_train, y_test = train_test_split(features, target, test_size=1.5, random_state=42)

The first idea that came to my mind is to modify the test_size to 0,5 since it's the medium value between 0.0 and 1.0. That solved the issue but I need to investigate if this is the correct value.

With that value, I get a pretty decent model accuracy of:

Model Accuracy: 99.17%

On the evaluate model we are calling a function show_me_the_stars() which does not exist and I don't think it will be part of any library so I'm just commenting it for now.

[alpajain23]

I got error at step 15 while training the model. Upon online search, I reviewed this document - https://scikit-learn.org/1.5/modules/generated/sklearn.model_selection.train_test_split.html and made it 0.3

[thom-at-redhat]

• Module not found: seaborn

Insert a cell above 1
!pip install seaborn

• Pip not up to date

Insert a cell above (new) 1
!pip install --upgrade pip

• test_size=1.5

Change to: 0.3

• plt.show_me_the_stars()

Comment this out or
Change to: plt.show()