al0new0lf/data-playground-desktop

To start off, clone this branch of the repo into your local:

git clone -b main --single-branch https://github.com/aL0NEW0LF/data-playground-desktop

After cloning the project, activate the env:

.venv\Scripts\activate

You can run the following command to install the dependencies:

pip3 install -r requirements.txt

Then run the main file with:

python main.py

2 sets of data are included, for users to test the app, first one is the titanic dataset to test all features of the app, second one is the same dataset but cleaned so the user can test training and testing the model directly.

Important

The work flow will be as follows:

After starting the app:

1. Choose your wanted ML algorithm
2. Upload data
3. Choose your target column
4. Proccess & visualize your data
5. Split your dataset into training & testing data
6. Train & test your model, then see results

Note

TODO

• Choose target column right after uploading data
• Variance threshold feature selection
• More data processing
• More plots if possible
• Better error handling & conditions handling
• Add training & testing the model without spliting the data
• Model configuration
• Model, metrics & data visualization after training
• Better UI
• Import ML model to use
• Add log file to record every step of the process and be able to return
• Fix the 'K-means' workflow, with more visualization of the results
• Add 3d and violent visualization
• Choose what form you want to save your file
• Add more regression models
• Add regression metrics plots
• Add a button to show the dataset info and description and different metrics on click
• Add a way predict for new datasets
• Add a way to create a new dataset or line of data
• Save the label encoder used to later reverse transform future predictions
• Choose the column where you want to handle missing values

data-playground-desktop's Issues

bug: multi-class classification metrics and plots dont work

So multi-class classification is a bit different from binary classification, the model training and testing goes well, but when recovering the metrics we encounters a problems in the AUC score, confusion matrix and ROC curve.

bug: invalid command name "2290026746176update"

after testing the model, plotting and closing the app,

i get this bug:

The program is trying to execute a command called 2577533870784update, but this command does not exist. This command looks like it might be the result of some kind of string concatenation error, where a memory address (the number) is being concatenated with a command name (update). This could be happening if you're trying to update a widget after it has been destroyed.

bug: visualization

When you apply features selection with variance threshold on the dataset, and try to visualize the dataset, i get this error:

Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Python311\Lib\tkinter\__init__.py", line 1948, in __call__
    return self.func(*args)
           ^^^^^^^^^^^^^^^^
  File "D:\FST\MST - AIDS\S1\ADVANCED PYTHON\data-playground-desktop\.venv\Lib\site-packages\customtkinter\windows\widgets\ctk_button.py", line 554, in _clicked
    self._command()
  File "D:\FST\MST - AIDS\S1\ADVANCED PYTHON\data-playground-desktop\main.py", line 218, in <lambda>
    self.VisualizeButton = ctk.CTkButton(ButtonsFrame, text="Visualize", command=lambda: self.VisPageSwitch(controller=controller), state='disabled', corner_radius=0, text_color="#101010", bg_color="#FFFFFF", fg_color="#FFFFFF", font=SMALLFONT, hover_color="#F0F0F0", height=48)
                                                                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\FST\MST - AIDS\S1\ADVANCED PYTHON\data-playground-desktop\main.py", line 350, in VisPageSwitch
    app.frames[VisualizationPage].ColumnXCombobox.configure(values=get_dataframe_columns(DATA.file_data))
  File "D:\FST\MST - AIDS\S1\ADVANCED PYTHON\data-playground-desktop\.venv\Lib\site-packages\customtkinter\windows\widgets\ctk_optionmenu.py", line 273, in configure
    self._dropdown_menu.configure(values=self._values)
  File "D:\FST\MST - AIDS\S1\ADVANCED PYTHON\data-playground-desktop\.venv\Lib\site-packages\customtkinter\windows\widgets\core_widget_classes\dropdown_menu.py", line 147, in configure
    self._add_menu_commands()
  File "D:\FST\MST - AIDS\S1\ADVANCED PYTHON\data-playground-desktop\.venv\Lib\site-packages\customtkinter\windows\widgets\core_widget_classes\dropdown_menu.py", line 100, in _add_menu_commands
    self.add_command(label=value.ljust(self._min_character_width),
                           ^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'ljust'