Updated with scikit influence

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,71 +1,125 @@
 name: Bug Report
 description: Report incorrect behavior in the pycaret library
-title: "BUG: "
+title: "[BUG]: "
 labels: [bug]
 
 body:
+
   - type: checkboxes
     id: checks
     attributes:
       label: pycaret version checks
       options:
         - label: >
-            I have checked that this issue has not already been reported.
+            I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
           required: true
         - label: >
             I have confirmed this bug exists on the
             [latest version](https://github.com/pycaret/pycaret/releases) of pycaret.
           required: true
         - label: >
-            I have confirmed this bug exists on the main branch of pandas.
+            I have confirmed this bug exists on the main branch of pycaret.
+  
+  - type: textarea
+    id: problem
+    attributes:
+      label: Issue Description
+      description: >
+        Please provide a description of the issue shown in the reproducible example.
+    validations:
+      required: true
+
   - type: textarea
     id: example
     attributes:
       label: Reproducible Example
       description: >
         Please follow [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) on how to
-        provide a minimal, copy-pastable example.
+        provide a minimal, copy-pastable example that can reproduce your issue.
         
+        Our preference would be to try and reproduce the issue with an inbuilt data source in pycaret.
         If using a data source other than one that is inbuilt in pycaret, please provide the dataset so that the
-        problem can be recreated by the person debugging.
+        problem can be recreated by the maintainers. 
         
-        Providing incomplete information will cause delays in response and resolution.
+        If the code is too long, feel free to put it in a [Google Colab notebook](https://colab.research.google.com/)
+        or [public gist](https://gist.github.com) and link it in the issue.
+
+        In short, **we are going to copy-paste your code** to run it and we expect to get the same result as you.
+
+        We acknowledge that crafting a minimal reproducible code example requires some effort on your side but it really
+        helps the maintainers quickly reproduce the problem and analyze its cause without any ambiguity.
+        Ambiguous bug reports tend to be slower to fix because they will require more effort and back and forth discussion
+        between the maintainers and the reporter to pin-point the precise conditions necessary to reproduce the problem.    
       placeholder: >
         from pycaret.datasets import get_data
         
         from pycaret.classification import setup
         
         data = get_data('diabetes')
         
-        s = setup(data, target = 'Class variable')
+        s = setup(data, target = 'Wrong Class variable')
 
         ...
       render: python
     validations:
       required: true
+
   - type: textarea
-    id: problem
+    id: expected-behavior
     attributes:
-      label: Issue Description
+      label: Expected Behavior
       description: >
-        Please provide a description of the issue shown in the reproducible example.
+        Please describe or show a code example of the expected behavior.
     validations:
       required: true
   - type: textarea
-    id: expected-behavior
     attributes:
-      label: Expected Behavior
-      description: >
-        Please describe or show a code example of the expected behavior.
+      label: Actual Results
+      description: |
+        Please paste or describe the results you observe instead of the expected results. If you observe an error, please paste the 
+        error message including the **full traceback** of the exception. For instance the code above raises the following exception:
+
+        ```python-traceback
+        ---------------------------------------------------------------------------
+        ValueError                                Traceback (most recent call last)
+        <ipython-input-3-671ca7f8e078> in <module>()
+              5 data = get_data('diabetes')
+              6 
+        ----> 7 s = setup(data, target = 'Wrong Class variable')
+
+        1 frames
+        /usr/local/lib/python3.7/dist-packages/pycaret/internal/tabular.py in setup(data, target, ml_usecase, available_plots, train_size, test_data, preprocess, imputation_type, iterative_imputation_iters, categorical_features, categorical_imputation, categorical_iterative_imputer, ordinal_features, high_cardinality_features, high_cardinality_method, numeric_features, numeric_imputation, numeric_iterative_imputer, date_features, ignore_features, normalize, normalize_method, transformation, transformation_method, handle_unknown_categorical, unknown_categorical_method, pca, pca_method, pca_components, ignore_low_variance, combine_rare_levels, rare_level_threshold, bin_numeric_features, remove_outliers, outliers_threshold, remove_multicollinearity, multicollinearity_threshold, remove_perfect_collinearity, create_clusters, cluster_iter, polynomial_features, polynomial_degree, trigonometry_features, polynomial_threshold, group_features, group_names, feature_selection, feature_selection_threshold, feature_selection_method, feature_interaction, feature_ratio, interaction_threshold, fix_imbalance, fix_imbalance_method, transform_target, transform_target_method, data_split_shuffle, data_split_stratify, fold_strategy, fold, fold_shuffle, fold_groups, n_jobs, use_gpu, custom_pipeline, html, session_id, log_experiment, experiment_name, experiment_custom_tags, log_plots, log_profile, log_data, silent, verbose, profile, profile_kwargs, display)
+            330     if not _is_unsupervised(ml_usecase) and target not in data.columns:
+            331         raise ValueError(
+        --> 332             f"Target parameter: {target} does not exist in the data provided."
+            333         )
+            334 
+
+        ValueError: Target parameter: Wrong Class variable does not exist in the data provided.
+        ```
+      placeholder: >
+        Please paste or specifically describe the actual output or traceback.
+      render: python-traceback
     validations:
       required: true
   - type: textarea
     id: version
     attributes:
       label: Installed Versions
       description: >
-        Please paste the output of ``from pycaret import show_versions; show_versions()``
-        If this does not work, try this instead ``import pycaret; pycaret.__version__``
+        Please paste the output of 
+        
+        ```python
+        from pycaret import show_versions
+        show_versions()
+        ```
+        
+        If this does not work, try this instead 
+        
+        ```python
+        import pycaret
+        pycaret.__version__
+        ```
       value: >
         <details>