[BUG] Format precentage in new category output

[shir22]

Describe the bug

See "percent of new category in sample"

To Reproduce
Use to following dataset:
https://github.com/AllonHammer/CPI_HRNN/blob/master/resources/cpi_us_dataset.csv
Dataset definition:
ds = Dataset(df, datetime_name='Date', label='Price', cat_features=['Category_id', 'Category', 'Indent', 'Parent', 'Parent_ID'])
Split first 40000 samples to be train, and the rest to be test.
And run the relevant checks (or the train-test-validation suite)

[kishore-s-15]

@shir22 Could you mention the steps to reproduce this issue ?

[TheSolY]

@shir22 If I understood correctly, the issue is that the conditions summary shows "0.02%" but the additional outputs show "0.00" and they should show the same number. Which dataset did you use?

[shir22]

Yes, indeed @TheSolY . And specifically, for consistency, to use the same formatting function as is used in the "More Info" in the Conditions Summary table...

@kishore-s-15 About the dataset + steps to reproduce: I added the specific steps in the edited issue description

[shir22]

@kishore-s-15 would you like to be assigned to this issue?

[kishore-s-15]

@shir22 @noamzbr Sure.

[noamzbr]

Granted, and much appreciated!

[kishore-s-15]

@shir22 Could you provide the code to reproduce the above error?

import pandas as pd

from deepchecks.tabular.dataset import Dataset
from deepchecks.suites import train_test_validation

df = pd.read_csv("./cpi_us_dataset.csv")

train_df = df.iloc[:40000, :]
test_df = df.iloc[40000:, :]

train_ds = Dataset(train_df, datetime_name='Date', label='Price',
        cat_features=['Category_id', 'Category', 'Indent', 'Parent', 'Parent_ID'])

test_ds = Dataset(test_df, datetime_name='Date', label='Price',
        cat_features=['Category_id', 'Category', 'Indent', 'Parent', 'Parent_ID'])

suite = train_test_validation()
suite.run(train_ds, test_ds)

I used the above code but was not able to reproduce the issue.

[shir22]

Can you show the print screen of the Category Mismatch Test?
I just ran your code now, and this was the output, like in the original description it shows 0.00

[kishore-s-15]

My bad, I ran the code as a script file instead of a notebook file. Got the same output now.