Merge https://github.com/rahul-jha-2001/ml_project

.gitignore

@@ -0,0 +1,132 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+ml_project/
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+ml_project
+
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

.vscode/launch.json

@@ -0,0 +1,16 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal",
+            "justMyCode": true
+        }
+    ]
+}

ReadMe.md

@@ -0,0 +1 @@
+# first project

app.py

@@ -0,0 +1,23 @@
+from src.Pipeline.predict_pipe import  Predict_Pipeline
+import gradio as gr
+from src.exception import CustomException
+
+obj = Predict_Pipeline()
+
+demo = gr.Interface(obj.predict,
+    inputs= [
+        gr.Radio(["male","female"],label="Gender"),
+        gr.Dropdown(['group B' ,'group C' ,'group A' ,'group D' ,'group E'],label="Race"),
+        gr.Dropdown(["bachelor's degree" ,'some college' ,"master's degree", "associate's degree",
+ 'high school' ,'some high school'],label="Parent Education"),
+        gr.Radio(['standard', 'free/reduced'],label="Lunch"),
+        gr.Radio(['none', 'completed'],label="Coaching"),
+        gr.Slider(0,100,label="writing Score"),
+        gr.Slider(0,100,label="reading score")],
+        outputs = "number"
+            )   
+
+
+
+if __name__ == "__main__":   
+    demo.launch()

artifact/raw.csv

@@ -0,0 +1,1001 @@
+gender,race_ethnicity,parental_level_of_education,lunch,test_preparation_course,math_score,reading_score,writing_score
+female,group B,bachelor's degree,standard,none,72,72,74
+female,group C,some college,standard,completed,69,90,88
+female,group B,master's degree,standard,none,90,95,93
+male,group A,associate's degree,free/reduced,none,47,57,44
+male,group C,some college,standard,none,76,78,75
+female,group B,associate's degree,standard,none,71,83,78
+female,group B,some college,standard,completed,88,95,92
+male,group B,some college,free/reduced,none,40,43,39
+male,group D,high school,free/reduced,completed,64,64,67
+female,group B,high school,free/reduced,none,38,60,50
+male,group C,associate's degree,standard,none,58,54,52
+male,group D,associate's degree,standard,none,40,52,43
+female,group B,high school,standard,none,65,81,73
+male,group A,some college,standard,completed,78,72,70
+female,group A,master's degree,standard,none,50,53,58
+female,group C,some high school,standard,none,69,75,78
+male,group C,high school,standard,none,88,89,86
+female,group B,some high school,free/reduced,none,18,32,28
+male,group C,master's degree,free/reduced,completed,46,42,46
+female,group C,associate's degree,free/reduced,none,54,58,61
+male,group D,high school,standard,none,66,69,63
+female,group B,some college,free/reduced,completed,65,75,70
+male,group D,some college,standard,none,44,54,53
+female,group C,some high school,standard,none,69,73,73
+male,group D,bachelor's degree,free/reduced,completed,74,71,80
+male,group A,master's degree,free/reduced,none,73,74,72
+male,group B,some college,standard,none,69,54,55
+female,group C,bachelor's degree,standard,none,67,69,75
+male,group C,high school,standard,none,70,70,65
+female,group D,master's degree,standard,none,62,70,75
+female,group D,some college,standard,none,69,74,74
+female,group B,some college,standard,none,63,65,61
+female,group E,master's degree,free/reduced,none,56,72,65
+male,group D,some college,standard,none,40,42,38
+male,group E,some college,standard,none,97,87,82
+male,group E,associate's degree,standard,completed,81,81,79
+female,group D,associate's degree,standard,none,74,81,83
+female,group D,some high school,free/reduced,none,50,64,59
+female,group D,associate's degree,free/reduced,completed,75,90,88
+male,group B,associate's degree,free/reduced,none,57,56,57
+male,group C,associate's degree,free/reduced,none,55,61,54
+female,group C,associate's degree,standard,none,58,73,68
+female,group B,associate's degree,standard,none,53,58,65
+male,group B,some college,free/reduced,completed,59,65,66
+female,group E,associate's degree,free/reduced,none,50,56,54
+male,group B,associate's degree,standard,none,65,54,57
+female,group A,associate's degree,standard,completed,55,65,62
+female,group C,high school,standard,none,66,71,76
+female,group D,associate's degree,free/reduced,completed,57,74,76
+male,group C,high school,standard,completed,82,84,82
+male,group E,some college,standard,none,53,55,48
+male,group E,associate's degree,free/reduced,completed,77,69,68
+male,group C,some college,standard,none,53,44,42
+male,group D,high school,standard,none,88,78,75
+female,group C,some high school,free/reduced,completed,71,84,87
+female,group C,high school,free/reduced,none,33,41,43
+female,group E,associate's degree,standard,completed,82,85,86
+male,group D,associate's degree,standard,none,52,55,49
+male,group D,some college,standard,completed,58,59,58
+female,group C,some high school,free/reduced,none,0,17,10
+male,group E,bachelor's degree,free/reduced,completed,79,74,72
+male,group A,some high school,free/reduced,none,39,39,34
+male,group A,associate's degree,free/reduced,none,62,61,55
+female,group C,associate's degree,standard,none,69,80,71
+female,group D,some high school,standard,none,59,58,59
+male,group B,some high school,standard,none,67,64,61
+male,group D,some high school,free/reduced,none,45,37,37
+female,group C,some college,standard,none,60,72,74
+male,group B,associate's degree,free/reduced,none,61,58,56
+female,group C,associate's degree,standard,none,39,64,57
+female,group D,some college,free/reduced,completed,58,63,73
+male,group D,some college,standard,completed,63,55,63
+female,group A,associate's degree,free/reduced,none,41,51,48
+male,group C,some high school,free/reduced,none,61,57,56
+male,group C,some high school,standard,none,49,49,41
+male,group B,associate's degree,free/reduced,none,44,41,38
+male,group E,some high school,standard,none,30,26,22
+male,group A,bachelor's degree,standard,completed,80,78,81
+female,group D,some high school,standard,completed,61,74,72
+female,group E,master's degree,standard,none,62,68,68
+female,group B,associate's degree,standard,none,47,49,50
+male,group B,high school,free/reduced,none,49,45,45
+male,group A,some college,free/reduced,completed,50,47,54
+male,group E,associate's degree,standard,none,72,64,63
+male,group D,high school,free/reduced,none,42,39,34
+female,group C,some college,standard,none,73,80,82
+female,group C,some college,free/reduced,none,76,83,88
+female,group D,associate's degree,standard,none,71,71,74
+female,group A,some college,standard,none,58,70,67
+female,group D,some high school,standard,none,73,86,82
+female,group C,bachelor's degree,standard,none,65,72,74
+male,group C,high school,free/reduced,none,27,34,36
+male,group C,high school,standard,none,71,79,71
+male,group C,associate's degree,free/reduced,completed,43,45,50
+female,group B,some college,standard,none,79,86,92
+male,group C,associate's degree,free/reduced,completed,78,81,82
+male,group B,some high school,standard,completed,65,66,62
+female,group E,some college,standard,completed,63,72,70
+female,group D,some college,free/reduced,none,58,67,62
+female,group D,bachelor's degree,standard,none,65,67,62
+male,group B,some college,standard,none,79,67,67
+male,group D,bachelor's degree,standard,completed,68,74,74
+female,group D,associate's degree,standard,none,85,91,89
+male,group B,high school,standard,completed,60,44,47
+male,group C,some college,standard,completed,98,86,90
+female,group C,some college,standard,none,58,67,72
+female,group D,master's degree,standard,none,87,100,100
+male,group E,associate's degree,standard,completed,66,63,64
+female,group B,associate's degree,free/reduced,none,52,76,70
+female,group B,some high school,standard,none,70,64,72
+female,group D,associate's degree,free/reduced,completed,77,89,98
+male,group C,high school,standard,none,62,55,49
+male,group A,associate's degree,standard,none,54,53,47
+female,group D,some college,standard,none,51,58,54
+female,group E,bachelor's degree,standard,completed,99,100,100
+male,group C,high school,standard,none,84,77,74
+female,group B,bachelor's degree,free/reduced,none,75,85,82
+female,group D,bachelor's degree,standard,none,78,82,79
+female,group D,some high school,standard,none,51,63,61
+female,group C,some college,standard,none,55,69,65
+female,group C,bachelor's degree,standard,completed,79,92,89
+male,group B,associate's degree,standard,completed,91,89,92
+female,group C,some college,standard,completed,88,93,93
+male,group D,high school,free/reduced,none,63,57,56
+male,group E,some college,standard,none,83,80,73
+female,group B,high school,standard,none,87,95,86
+male,group B,some high school,standard,none,72,68,67
+male,group D,some college,standard,completed,65,77,74
+male,group D,master's degree,standard,none,82,82,74
+female,group A,bachelor's degree,standard,none,51,49,51
+male,group D,master's degree,standard,none,89,84,82
+male,group C,some high school,free/reduced,completed,53,37,40
+male,group E,some college,free/reduced,completed,87,74,70
+female,group C,some college,standard,completed,75,81,84
+male,group D,bachelor's degree,free/reduced,completed,74,79,75
+male,group C,bachelor's degree,standard,none,58,55,48
+male,group B,some high school,standard,completed,51,54,41
+male,group E,high school,standard,none,70,55,56
+female,group C,associate's degree,standard,none,59,66,67
+male,group D,some college,standard,completed,71,61,69
+female,group D,some high school,standard,none,76,72,71
+female,group C,some college,free/reduced,none,59,62,64
+female,group E,some college,free/reduced,completed,42,55,54
+male,group A,high school,standard,none,57,43,47
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+female,group D,bachelor's degree,standard,completed,68,75,81
+male,group E,associate's degree,free/reduced,completed,100,100,93
+male,group A,some high school,standard,completed,62,67,69
+male,group A,bachelor's degree,standard,none,77,67,68
+female,group B,associate's degree,standard,completed,59,70,66
+male,group D,bachelor's degree,standard,none,54,49,47
+male,group D,some high school,standard,none,62,67,61
+female,group C,some college,standard,completed,70,89,88
+female,group E,high school,free/reduced,completed,66,74,78
+male,group B,some college,free/reduced,none,60,60,60
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+male,group D,associate's degree,free/reduced,none,66,62,64
+male,group B,associate's degree,free/reduced,completed,82,78,74
+female,group E,some college,free/reduced,completed,75,88,85
+male,group B,master's degree,free/reduced,none,49,53,52
+male,group C,high school,standard,none,52,53,49
+female,group E,master's degree,standard,none,81,92,91
+female,group C,bachelor's degree,standard,completed,96,100,100
+male,group C,high school,free/reduced,completed,53,51,51
+female,group B,master's degree,free/reduced,completed,58,76,78
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+female,group C,master's degree,standard,completed,81,91,87
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+female,group B,master's degree,free/reduced,completed,52,70,62
+female,group D,some high school,standard,completed,97,100,100
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+female,group C,some college,free/reduced,none,46,64,66
+female,group E,high school,standard,none,50,50,47
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+male,group C,some high school,free/reduced,completed,45,52,49
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+male,group D,some high school,standard,completed,62,66,68
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+female,group E,associate's degree,standard,none,66,65,69
+male,group D,some college,standard,completed,76,83,79
+female,group B,some high school,standard,none,62,64,66
+male,group D,some college,standard,completed,77,62,62
+female,group C,master's degree,standard,completed,69,84,85
+male,group D,associate's degree,standard,none,61,55,52
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+male,group E,high school,free/reduced,none,55,56,51
+female,group B,some college,free/reduced,none,45,53,55
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+female,group E,associate's degree,free/reduced,completed,83,86,88
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+male,group D,some high school,standard,none,86,80,75
+female,group B,associate's degree,standard,completed,52,66,73
+female,group E,master's degree,free/reduced,none,45,56,54
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+female,group B,bachelor's degree,standard,none,67,86,83
+male,group E,some high school,standard,none,92,87,78
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+male,group B,some college,standard,none,54,52,51
+male,group C,associate's degree,standard,none,84,80,80
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+female,group E,bachelor's degree,standard,none,80,83,83
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+male,group D,some high school,standard,none,75,74,69
+male,group C,associate's degree,standard,none,85,76,71
+male,group E,associate's degree,standard,none,89,76,74
+female,group B,high school,standard,completed,58,70,68
+female,group B,high school,standard,none,65,64,62
+male,group C,high school,standard,none,68,60,53
+male,group A,some high school,standard,completed,47,49,49
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+female,group B,some high school,standard,completed,60,70,70
+male,group D,master's degree,standard,none,80,80,72
+male,group D,high school,standard,none,54,52,52
+female,group E,some college,standard,none,62,73,70
+female,group C,associate's degree,free/reduced,none,64,73,68
+male,group C,associate's degree,standard,completed,78,77,77
+female,group B,some college,standard,none,70,75,78
+female,group C,master's degree,free/reduced,completed,65,81,81
+female,group C,some high school,free/reduced,completed,64,79,77
+male,group C,some college,standard,completed,79,79,78
+female,group C,some high school,free/reduced,none,44,50,51
+female,group E,high school,standard,none,99,93,90
+male,group D,high school,standard,none,76,73,68
+male,group D,some high school,free/reduced,none,59,42,41
+female,group C,bachelor's degree,standard,none,63,75,81
+female,group D,high school,standard,none,69,72,77
+female,group D,associate's degree,standard,completed,88,92,95
+female,group E,some college,free/reduced,none,71,76,70
+male,group C,bachelor's degree,standard,none,69,63,61
+male,group C,some college,standard,none,58,49,42
+female,group D,associate's degree,free/reduced,none,47,53,58
+female,group D,some college,standard,none,65,70,71
+male,group B,some college,standard,completed,88,85,76
+male,group C,bachelor's degree,standard,none,83,78,73
+female,group C,some high school,standard,completed,85,92,93
+female,group E,high school,standard,completed,59,63,75
+female,group C,some high school,free/reduced,none,65,86,80
+male,group B,bachelor's degree,free/reduced,none,73,56,57
+male,group D,high school,standard,none,53,52,42
+male,group D,high school,standard,none,45,48,46
+female,group D,bachelor's degree,free/reduced,none,73,79,84
+female,group D,some college,free/reduced,completed,70,78,78
+female,group B,some high school,standard,none,37,46,46
+male,group B,associate's degree,standard,completed,81,82,82
+male,group E,associate's degree,standard,completed,97,82,88
+female,group B,some high school,standard,none,67,89,82
+male,group B,bachelor's degree,free/reduced,none,88,75,76
+male,group E,some high school,standard,completed,77,76,77
+male,group C,associate's degree,standard,none,76,70,68
+male,group D,some high school,standard,none,86,73,70
+male,group C,some high school,standard,completed,63,60,57
+female,group E,bachelor's degree,standard,none,65,73,75
+male,group D,high school,free/reduced,completed,78,77,80
+male,group B,associate's degree,free/reduced,none,67,62,60
+male,group A,some high school,standard,completed,46,41,43
+male,group E,associate's degree,standard,completed,71,74,68
+male,group C,high school,free/reduced,completed,40,46,50
+male,group D,associate's degree,free/reduced,none,90,87,75
+male,group A,some college,free/reduced,completed,81,78,81
+male,group D,some high school,free/reduced,none,56,54,52
+female,group C,associate's degree,standard,completed,67,84,81
+male,group B,associate's degree,standard,none,80,76,64
+female,group C,associate's degree,standard,completed,74,75,83
+male,group A,some college,standard,none,69,67,69
+male,group E,some college,standard,completed,99,87,81
+male,group C,some high school,standard,none,51,52,44
+female,group B,associate's degree,free/reduced,none,53,71,67
+female,group D,high school,free/reduced,none,49,57,52
+female,group B,associate's degree,standard,none,73,76,80
+male,group B,bachelor's degree,standard,none,66,60,57
+male,group D,bachelor's degree,standard,completed,67,61,68
+female,group C,associate's degree,free/reduced,completed,68,67,69
+female,group C,bachelor's degree,standard,completed,59,64,75
+male,group C,high school,standard,none,71,66,65
+female,group D,master's degree,standard,completed,77,82,91
+male,group C,associate's degree,standard,none,83,72,78
+male,group B,bachelor's degree,standard,none,63,71,69
+female,group D,associate's degree,free/reduced,none,56,65,63
+female,group C,high school,free/reduced,completed,67,79,84
+female,group E,high school,standard,none,75,86,79
+female,group C,some college,standard,none,71,81,80
+female,group C,some high school,free/reduced,none,43,53,53
+female,group C,high school,free/reduced,none,41,46,43
+female,group C,some college,standard,none,82,90,94
+male,group C,some college,standard,none,61,61,62
+male,group A,some college,free/reduced,none,28,23,19
+male,group C,associate's degree,standard,completed,82,75,77
+female,group B,some high school,standard,none,41,55,51
+male,group C,high school,standard,none,71,60,61
+male,group C,associate's degree,standard,none,47,37,35
+male,group E,associate's degree,standard,completed,62,56,53
+male,group B,associate's degree,standard,none,90,78,81
+female,group C,bachelor's degree,standard,none,83,93,95
+female,group B,some college,free/reduced,none,61,68,66
+male,group D,some high school,standard,completed,76,70,69
+male,group C,associate's degree,standard,none,49,51,43
+female,group B,some high school,free/reduced,none,24,38,27
+female,group D,some high school,free/reduced,completed,35,55,60
+male,group C,high school,free/reduced,none,58,61,52
+female,group C,high school,standard,none,61,73,63
+female,group B,high school,standard,completed,69,76,74
+male,group D,associate's degree,standard,completed,67,72,67
+male,group D,some college,standard,none,79,73,67
+female,group C,high school,standard,none,72,80,75
+male,group B,some college,standard,none,62,61,57
+female,group C,bachelor's degree,standard,completed,77,94,95
+male,group D,high school,free/reduced,none,75,74,66
+male,group E,associate's degree,standard,none,87,74,76
+female,group B,bachelor's degree,standard,none,52,65,69
+male,group E,some college,standard,none,66,57,52
+female,group C,some college,standard,completed,63,78,80
+female,group C,associate's degree,standard,none,46,58,57
+female,group C,some college,standard,none,59,71,70
+female,group B,bachelor's degree,standard,none,61,72,70
+male,group A,associate's degree,standard,none,63,61,61
+female,group C,some college,free/reduced,completed,42,66,69
+male,group D,some college,free/reduced,none,59,62,61
+female,group D,some college,standard,none,80,90,89
+female,group B,high school,standard,none,58,62,59
+male,group B,some high school,standard,completed,85,84,78
+female,group C,some college,standard,none,52,58,58
+female,group D,some high school,free/reduced,none,27,34,32
+male,group C,some college,standard,none,59,60,58
+male,group A,bachelor's degree,free/reduced,completed,49,58,60
+male,group C,high school,standard,completed,69,58,53
+male,group C,bachelor's degree,free/reduced,none,61,66,61
+female,group A,some high school,free/reduced,none,44,64,58
+female,group D,some high school,standard,none,73,84,85
+male,group E,some college,standard,none,84,77,71
+female,group C,some college,free/reduced,completed,45,73,70
+male,group D,some high school,standard,none,74,74,72
+female,group D,some college,standard,completed,82,97,96
+female,group D,bachelor's degree,standard,none,59,70,73
+male,group E,associate's degree,free/reduced,none,46,43,41
+female,group D,some high school,standard,none,80,90,82
+female,group D,master's degree,free/reduced,completed,85,95,100
+female,group A,some high school,standard,none,71,83,77
+male,group A,bachelor's degree,standard,none,66,64,62
+female,group B,associate's degree,standard,none,80,86,83
+male,group C,associate's degree,standard,completed,87,100,95
+male,group C,master's degree,free/reduced,none,79,81,71
+female,group E,some high school,free/reduced,none,38,49,45
+female,group A,some high school,free/reduced,none,38,43,43
+female,group E,some college,standard,none,67,76,75
+female,group E,bachelor's degree,standard,none,64,73,70
+female,group C,associate's degree,free/reduced,none,57,78,67
+female,group D,high school,standard,none,62,64,64
+male,group D,master's degree,standard,none,73,70,75
+male,group E,some high school,free/reduced,completed,73,67,59
+female,group D,some college,standard,none,77,68,77
+male,group E,some college,standard,none,76,67,67
+male,group C,associate's degree,standard,completed,57,54,56
+female,group C,some high school,standard,completed,65,74,77
+male,group A,high school,free/reduced,none,48,45,41
+female,group B,high school,free/reduced,none,50,67,63
+female,group C,associate's degree,standard,none,85,89,95
+male,group B,some high school,standard,none,74,63,57
+male,group D,some high school,standard,none,60,59,54
+female,group C,some high school,standard,completed,59,54,67
+male,group A,some college,standard,none,53,43,43
+female,group A,some college,free/reduced,none,49,65,55
+female,group D,high school,standard,completed,88,99,100
+female,group C,high school,standard,none,54,59,62
+female,group C,some high school,standard,none,63,73,68
+male,group B,associate's degree,standard,completed,65,65,63
+female,group B,associate's degree,standard,none,82,80,77
+female,group D,high school,free/reduced,completed,52,57,56
+male,group D,associate's degree,standard,completed,87,84,85
+female,group D,master's degree,standard,completed,70,71,74
+male,group E,some college,standard,completed,84,83,78
+male,group D,associate's degree,standard,none,71,66,60
+male,group B,some high school,standard,completed,63,67,67
+female,group C,bachelor's degree,free/reduced,completed,51,72,79
+male,group E,high school,standard,none,84,73,69
+male,group C,bachelor's degree,standard,completed,71,74,68
+male,group C,associate's degree,standard,none,74,73,67
+male,group D,some college,standard,none,68,59,62
+male,group E,high school,free/reduced,completed,57,56,54
+female,group C,associate's degree,free/reduced,completed,82,93,93
+female,group D,high school,standard,completed,57,58,64
+female,group D,master's degree,free/reduced,completed,47,58,67
+female,group A,some high school,standard,completed,59,85,80
+male,group B,some college,free/reduced,none,41,39,34
+female,group C,some college,free/reduced,none,62,67,62
+male,group C,bachelor's degree,standard,none,86,83,86
+male,group C,some high school,free/reduced,none,69,71,65
+male,group A,some high school,free/reduced,none,65,59,53
+male,group C,some high school,free/reduced,none,68,63,54
+male,group C,associate's degree,free/reduced,none,64,66,59
+female,group C,high school,standard,none,61,72,70
+male,group C,high school,standard,none,61,56,55
+female,group A,some high school,free/reduced,none,47,59,50
+male,group C,some high school,standard,none,73,66,66
+male,group C,some college,free/reduced,completed,50,48,53
+male,group D,associate's degree,standard,none,75,68,64
+male,group D,associate's degree,free/reduced,none,75,66,73
+male,group C,high school,standard,none,70,56,51
+male,group D,some high school,standard,completed,89,88,82
+female,group C,some college,standard,completed,67,81,79
+female,group D,high school,standard,none,78,81,80
+female,group A,some high school,free/reduced,none,59,73,69
+female,group B,associate's degree,standard,none,73,83,76
+male,group A,some high school,free/reduced,none,79,82,73
+female,group C,some high school,standard,completed,67,74,77
+male,group D,some college,free/reduced,none,69,66,60
+male,group C,high school,standard,completed,86,81,80
+male,group B,high school,standard,none,47,46,42
+male,group B,associate's degree,standard,none,81,73,72
+female,group C,some college,free/reduced,completed,64,85,85
+female,group E,some college,standard,none,100,92,97
+female,group C,associate's degree,free/reduced,none,65,77,74
+male,group C,some college,free/reduced,none,65,58,49
+female,group C,associate's degree,free/reduced,none,53,61,62
+male,group C,bachelor's degree,free/reduced,none,37,56,47
+female,group D,bachelor's degree,standard,none,79,89,89
+male,group D,associate's degree,free/reduced,none,53,54,48
+female,group E,bachelor's degree,standard,none,100,100,100
+male,group B,high school,standard,completed,72,65,68
+male,group C,bachelor's degree,free/reduced,none,53,58,55
+male,group B,some college,free/reduced,none,54,54,45
+female,group E,some college,standard,none,71,70,76
+female,group C,some college,free/reduced,none,77,90,91
+male,group A,bachelor's degree,standard,completed,75,58,62
+female,group C,some college,standard,none,84,87,91
+female,group D,associate's degree,free/reduced,none,26,31,38
+male,group A,high school,free/reduced,completed,72,67,65
+female,group A,high school,free/reduced,completed,77,88,85
+male,group C,some college,standard,none,91,74,76
+female,group C,associate's degree,standard,completed,83,85,90
+female,group C,high school,standard,none,63,69,74
+female,group C,associate's degree,standard,completed,68,86,84
+female,group D,some high school,standard,none,59,67,61
+female,group B,associate's degree,standard,completed,90,90,91
+female,group D,bachelor's degree,standard,completed,71,76,83
+male,group E,bachelor's degree,standard,completed,76,62,66
+male,group D,associate's degree,standard,none,80,68,72
+female,group D,master's degree,standard,none,55,64,70
+male,group E,associate's degree,standard,none,76,71,67
+male,group B,high school,standard,completed,73,71,68
+female,group D,associate's degree,free/reduced,none,52,59,56
+male,group C,some college,free/reduced,none,68,68,61
+male,group A,high school,standard,none,59,52,46
+female,group B,associate's degree,standard,none,49,52,54
+male,group C,high school,standard,none,70,74,71
+male,group D,some college,free/reduced,none,61,47,56
+female,group C,associate's degree,free/reduced,none,60,75,74
+male,group B,some high school,standard,completed,64,53,57
+male,group A,associate's degree,free/reduced,completed,79,82,82
+female,group A,associate's degree,free/reduced,none,65,85,76
+female,group C,associate's degree,standard,none,64,64,70
+female,group C,some college,standard,none,83,83,90
+female,group C,bachelor's degree,standard,none,81,88,90
+female,group B,high school,standard,none,54,64,68
+male,group D,high school,standard,completed,68,64,66
+female,group C,some college,standard,none,54,48,52
+female,group D,some college,free/reduced,completed,59,78,76
+female,group B,some high school,standard,none,66,69,68
+male,group E,some college,standard,none,76,71,72
+female,group D,master's degree,standard,none,74,79,82
+female,group B,associate's degree,standard,completed,94,87,92
+male,group C,some college,free/reduced,none,63,61,54
+female,group E,associate's degree,standard,completed,95,89,92
+female,group D,master's degree,free/reduced,none,40,59,54
+female,group B,some high school,standard,none,82,82,80
+male,group A,high school,standard,none,68,70,66
+male,group B,bachelor's degree,free/reduced,none,55,59,54
+male,group C,master's degree,standard,none,79,78,77
+female,group C,bachelor's degree,standard,none,86,92,87
+male,group D,some college,standard,none,76,71,73
+male,group A,some high school,standard,none,64,50,43
+male,group D,some high school,free/reduced,none,62,49,52
+female,group B,some high school,standard,completed,54,61,62
+female,group B,master's degree,free/reduced,completed,77,97,94
+female,group C,some high school,standard,completed,76,87,85
+female,group D,some college,standard,none,74,89,84
+female,group E,some college,standard,completed,66,74,73
+female,group D,some high school,standard,completed,66,78,78
+female,group B,high school,free/reduced,completed,67,78,79
+male,group D,some college,standard,none,71,49,52
+female,group C,associate's degree,standard,none,91,86,84
+male,group D,bachelor's degree,standard,none,69,58,57
+male,group C,master's degree,free/reduced,none,54,59,50
+male,group C,high school,standard,completed,53,52,49
+male,group E,some college,standard,none,68,60,59
+male,group C,some high school,free/reduced,completed,56,61,60
+female,group C,high school,free/reduced,none,36,53,43
+female,group D,bachelor's degree,free/reduced,none,29,41,47
+female,group C,associate's degree,standard,none,62,74,70
+female,group C,associate's degree,standard,completed,68,67,73
+female,group C,some high school,standard,none,47,54,53
+male,group E,associate's degree,standard,completed,62,61,58
+female,group E,associate's degree,standard,completed,79,88,94
+male,group B,high school,standard,completed,73,69,68
+female,group C,bachelor's degree,free/reduced,completed,66,83,83
+male,group C,associate's degree,standard,completed,51,60,58
+female,group D,high school,standard,none,51,66,62
+male,group E,bachelor's degree,standard,completed,85,66,71
+male,group A,associate's degree,standard,completed,97,92,86
+male,group C,high school,standard,completed,75,69,68
+male,group D,associate's degree,free/reduced,completed,79,82,80
+female,group C,associate's degree,standard,none,81,77,79
+female,group D,associate's degree,standard,none,82,95,89
+female,group D,master's degree,standard,none,64,63,66
+male,group E,some high school,free/reduced,completed,78,83,80
+female,group A,some high school,standard,completed,92,100,97
+male,group C,high school,standard,completed,72,67,64
+female,group C,high school,free/reduced,none,62,67,64
+male,group C,master's degree,standard,none,79,72,69
+male,group C,some high school,free/reduced,none,79,76,65
+male,group B,bachelor's degree,free/reduced,completed,87,90,88
+female,group B,associate's degree,standard,none,40,48,50
+male,group D,some college,free/reduced,none,77,62,64
+male,group E,associate's degree,standard,none,53,45,40
+female,group C,some college,free/reduced,none,32,39,33
+female,group C,associate's degree,standard,completed,55,72,79
+male,group C,master's degree,free/reduced,none,61,67,66
+female,group B,associate's degree,free/reduced,none,53,70,70
+male,group D,some high school,standard,none,73,66,62
+female,group D,some college,standard,completed,74,75,79
+female,group C,some college,standard,none,63,74,74
+male,group C,bachelor's degree,standard,completed,96,90,92
+female,group D,some college,free/reduced,completed,63,80,80
+male,group B,bachelor's degree,free/reduced,none,48,51,46
+male,group B,associate's degree,standard,none,48,43,45
+female,group E,bachelor's degree,free/reduced,completed,92,100,100
+female,group D,master's degree,free/reduced,completed,61,71,78
+male,group B,high school,free/reduced,none,63,48,47
+male,group D,bachelor's degree,free/reduced,none,68,68,67
+male,group B,some college,standard,completed,71,75,70
+male,group A,bachelor's degree,standard,none,91,96,92
+female,group C,some college,standard,none,53,62,56
+female,group C,high school,free/reduced,completed,50,66,64
+female,group E,high school,standard,none,74,81,71
+male,group A,associate's degree,free/reduced,completed,40,55,53
+male,group A,some college,standard,completed,61,51,52
+female,group B,high school,standard,none,81,91,89
+female,group B,some college,free/reduced,completed,48,56,58
+female,group D,master's degree,standard,none,53,61,68
+female,group D,some high school,standard,none,81,97,96
+female,group E,some high school,standard,none,77,79,80
+female,group D,bachelor's degree,free/reduced,none,63,73,78
+female,group D,associate's degree,standard,completed,73,75,80
+female,group D,some college,standard,none,69,77,77
+female,group C,associate's degree,standard,none,65,76,76
+female,group A,high school,standard,none,55,73,73
+female,group C,bachelor's degree,free/reduced,none,44,63,62
+female,group C,some college,standard,none,54,64,65
+female,group A,some high school,standard,none,48,66,65
+male,group C,some college,free/reduced,none,58,57,54
+male,group A,some high school,standard,none,71,62,50
+male,group E,bachelor's degree,standard,none,68,68,64
+female,group E,high school,standard,none,74,76,73
+female,group C,bachelor's degree,standard,completed,92,100,99
+female,group C,bachelor's degree,standard,completed,56,79,72
+male,group B,high school,free/reduced,none,30,24,15
+male,group A,some high school,standard,none,53,54,48
+female,group D,high school,standard,none,69,77,73
+female,group D,some high school,standard,none,65,82,81
+female,group D,master's degree,standard,none,54,60,63
+female,group C,high school,standard,none,29,29,30
+female,group E,some college,standard,none,76,78,80
+male,group D,high school,free/reduced,none,60,57,51
+male,group D,master's degree,free/reduced,completed,84,89,90
+male,group C,some high school,standard,none,75,72,62
+female,group C,associate's degree,standard,none,85,84,82
+female,group C,master's degree,free/reduced,none,40,58,54
+female,group E,some college,standard,none,61,64,62
+female,group B,associate's degree,standard,none,58,63,65
+male,group D,some college,free/reduced,completed,69,60,63
+female,group C,some college,standard,none,58,59,66
+male,group C,bachelor's degree,standard,completed,94,90,91
+female,group C,associate's degree,standard,none,65,77,74
+female,group A,associate's degree,standard,none,82,93,93
+female,group C,high school,standard,none,60,68,72
+female,group E,bachelor's degree,standard,none,37,45,38
+male,group D,bachelor's degree,standard,none,88,78,83
+male,group D,master's degree,standard,none,95,81,84
+male,group C,associate's degree,free/reduced,completed,65,73,68
+female,group C,high school,free/reduced,none,35,61,54
+male,group B,bachelor's degree,free/reduced,none,62,63,56
+male,group C,high school,free/reduced,completed,58,51,52
+male,group A,some college,standard,completed,100,96,86
+female,group E,bachelor's degree,free/reduced,none,61,58,62
+male,group D,some college,standard,completed,100,97,99
+male,group B,associate's degree,free/reduced,completed,69,70,63
+male,group D,associate's degree,standard,none,61,48,46
+male,group D,some college,free/reduced,none,49,57,46
+female,group C,some high school,standard,completed,44,51,55
+male,group D,some college,standard,none,67,64,70
+male,group B,high school,standard,none,79,60,65
+female,group B,bachelor's degree,standard,completed,66,74,81
+female,group C,high school,standard,none,75,88,85
+male,group D,some high school,standard,none,84,84,80
+male,group A,high school,standard,none,71,74,64
+female,group B,high school,free/reduced,completed,67,80,81
+female,group D,some high school,standard,completed,80,92,88
+male,group E,some college,standard,none,86,76,74
+female,group D,associate's degree,standard,none,76,74,73
+male,group D,high school,standard,none,41,52,51
+female,group D,associate's degree,free/reduced,completed,74,88,90
+female,group B,some high school,free/reduced,none,72,81,79
+female,group E,high school,standard,completed,74,79,80
+male,group B,high school,standard,none,70,65,60
+female,group B,bachelor's degree,standard,completed,65,81,81
+female,group D,associate's degree,standard,none,59,70,65
+female,group E,high school,free/reduced,none,64,62,68
+female,group B,high school,standard,none,50,53,55
+female,group D,some college,standard,completed,69,79,81
+male,group C,some high school,free/reduced,completed,51,56,53
+female,group A,high school,standard,completed,68,80,76
+female,group D,some college,standard,completed,85,86,98
+female,group A,associate's degree,standard,completed,65,70,74
+female,group B,some high school,standard,none,73,79,79
+female,group B,some college,standard,none,62,67,67
+male,group C,associate's degree,free/reduced,none,77,67,64
+male,group D,some high school,standard,none,69,66,61
+female,group D,associate's degree,free/reduced,none,43,60,58
+male,group D,associate's degree,standard,none,90,87,85
+male,group C,some college,free/reduced,none,74,77,73
+male,group C,some high school,standard,none,73,66,63
+female,group D,some college,free/reduced,none,55,71,69
+female,group C,high school,standard,none,65,69,67
+male,group D,associate's degree,standard,none,80,63,63
+female,group C,some high school,free/reduced,completed,50,60,60
+female,group C,some college,free/reduced,completed,63,73,71
+female,group B,bachelor's degree,free/reduced,none,77,85,87
+male,group C,some college,standard,none,73,74,61
+male,group D,associate's degree,standard,completed,81,72,77
+female,group C,high school,free/reduced,none,66,76,68
+male,group D,associate's degree,free/reduced,none,52,57,50
+female,group C,some college,standard,none,69,78,76
+female,group C,associate's degree,standard,completed,65,84,84
+female,group D,high school,standard,completed,69,77,78
+female,group B,some college,standard,completed,50,64,66
+female,group E,some college,standard,completed,73,78,76
+female,group C,some high school,standard,completed,70,82,76
+male,group D,associate's degree,free/reduced,none,81,75,78
+male,group D,some college,free/reduced,none,63,61,60
+female,group D,high school,standard,none,67,72,74
+male,group B,high school,standard,none,60,68,60
+male,group B,high school,standard,none,62,55,54
+female,group C,some high school,free/reduced,completed,29,40,44
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+female,group D,some college,standard,completed,68,78,77
+female,group D,some college,free/reduced,none,77,86,86

artifact/test.csv

@@ -0,0 +1,201 @@
+gender,race_ethnicity,parental_level_of_education,lunch,test_preparation_course,math_score,reading_score,writing_score
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+female,group C,associate's degree,free/reduced,none,65,77,74
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+female,group D,high school,standard,none,56,52,55
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+female,group C,some high school,free/reduced,none,44,50,51
+male,group A,some high school,standard,none,51,31,36
+male,group B,bachelor's degree,standard,none,63,71,69
+male,group C,high school,standard,completed,82,84,82
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+female,group C,high school,standard,none,72,80,75
+male,group C,some high school,standard,completed,78,72,69
+female,group C,some college,standard,completed,75,81,84
+male,group C,some college,standard,completed,98,86,90
+female,group B,some college,standard,completed,88,95,92
+female,group D,master's degree,standard,none,54,60,63
+female,group C,some college,standard,none,54,48,52
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+female,group C,associate's degree,standard,completed,68,86,84
+female,group D,high school,standard,none,69,77,73
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+female,group A,some high school,free/reduced,none,47,59,50
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+female,group B,associate's degree,free/reduced,none,52,76,70
+female,group E,high school,free/reduced,none,64,62,68
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+female,group C,high school,standard,none,76,76,74
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+male,group B,some college,standard,completed,88,85,76
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+male,group B,associate's degree,standard,completed,82,84,78
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+female,group C,bachelor's degree,standard,none,65,72,74
+male,group D,bachelor's degree,standard,completed,68,74,74
+female,group B,some college,standard,none,79,86,92
+female,group B,high school,standard,none,81,91,89
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+female,group C,associate's degree,standard,none,58,73,68
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+male,group E,associate's degree,standard,completed,81,81,79
+female,group D,bachelor's degree,standard,completed,68,75,81
+male,group C,bachelor's degree,free/reduced,none,37,56,47
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artifact/train.csv

@@ -0,0 +1,801 @@
+gender,race_ethnicity,parental_level_of_education,lunch,test_preparation_course,math_score,reading_score,writing_score
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+male,group A,high school,standard,none,59,52,46
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+male,group B,associate's degree,standard,completed,81,82,82
+female,group C,associate's degree,standard,completed,57,77,80
+male,group C,some college,free/reduced,none,68,68,61
+female,group C,bachelor's degree,free/reduced,completed,47,62,66
+male,group C,associate's degree,standard,none,62,65,58
+female,group B,bachelor's degree,free/reduced,none,75,85,82
+male,group D,master's degree,standard,none,95,81,84
+female,group D,some college,standard,completed,85,86,98
+female,group B,some high school,free/reduced,completed,59,63,64
+male,group C,associate's degree,free/reduced,completed,78,81,82
+male,group C,some college,standard,completed,79,79,78
+male,group A,high school,standard,none,71,74,64
+male,group E,bachelor's degree,standard,none,68,68,64
+female,group E,high school,standard,none,74,81,71
+female,group C,some college,standard,none,62,69,69
+female,group D,associate's degree,standard,none,85,91,89
+male,group A,associate's degree,free/reduced,none,62,61,55
+male,group C,some college,standard,none,59,41,42
+female,group C,high school,standard,none,65,69,67
+male,group E,some college,standard,completed,85,75,68
+male,group C,some high school,free/reduced,completed,45,52,49
+male,group D,associate's degree,free/reduced,none,81,75,78
+male,group D,some high school,standard,none,55,47,44
+male,group C,high school,free/reduced,none,27,34,36
+male,group C,high school,standard,none,81,66,64
+male,group D,high school,standard,none,89,87,79
+male,group C,associate's degree,standard,none,92,79,84
+male,group E,high school,standard,none,73,64,57
+female,group B,associate's degree,free/reduced,completed,68,77,80
+male,group E,some college,standard,completed,84,83,78
+male,group B,some college,standard,none,62,61,57
+male,group B,high school,standard,completed,73,71,68
+female,group C,high school,standard,none,72,80,83
+female,group D,master's degree,standard,none,62,70,75
+female,group C,some high school,free/reduced,completed,71,84,87
+female,group C,associate's degree,free/reduced,none,60,75,74
+male,group B,associate's degree,free/reduced,none,57,56,57
+male,group B,some college,free/reduced,none,60,60,60
+female,group E,associate's degree,standard,none,59,62,69
+male,group B,some high school,standard,none,88,84,75
+male,group B,associate's degree,standard,none,87,85,73
+male,group B,some college,standard,completed,62,66,68
+female,group B,some high school,free/reduced,completed,52,67,72
+female,group E,some college,standard,none,76,78,80
+male,group C,some high school,standard,completed,67,73,68
+female,group C,some high school,standard,completed,65,74,77
+male,group C,some college,standard,none,53,44,42
+male,group C,high school,free/reduced,completed,58,51,52
+female,group D,high school,standard,completed,69,77,78
+female,group D,some college,standard,none,80,90,89
+female,group D,master's degree,free/reduced,none,40,59,54
+female,group A,some college,free/reduced,none,49,65,55
+male,group B,high school,standard,none,52,48,49
+female,group D,high school,standard,completed,57,58,64
+male,group B,high school,standard,none,47,46,42
+female,group C,bachelor's degree,standard,completed,96,100,100
+female,group B,some high school,standard,none,37,46,46
+female,group B,associate's degree,standard,none,47,49,50
+male,group D,high school,standard,none,57,50,54
+male,group C,high school,standard,completed,86,81,80
+female,group C,associate's degree,standard,none,46,58,57
+female,group B,associate's degree,standard,none,73,76,80
+male,group E,some high school,standard,completed,68,51,57
+female,group C,master's degree,free/reduced,completed,65,81,81
+female,group C,some high school,free/reduced,none,43,53,53
+female,group B,high school,free/reduced,none,38,60,50
+male,group D,some college,free/reduced,none,63,61,60
+female,group C,associate's degree,standard,none,62,74,70
+female,group D,some college,standard,none,69,74,74
+female,group C,master's degree,free/reduced,none,52,65,61
+female,group D,some high school,standard,completed,97,100,100
+female,group C,bachelor's degree,standard,none,67,69,75
+male,group D,some college,standard,none,40,42,38
+female,group C,bachelor's degree,standard,none,83,93,95
+male,group B,some high school,standard,completed,85,84,78
+female,group E,bachelor's degree,standard,none,65,73,75
+female,group B,high school,free/reduced,completed,76,85,82
+male,group C,high school,standard,none,75,81,71
+female,group B,associate's degree,standard,none,71,83,78
+male,group E,high school,free/reduced,none,55,56,51
+female,group B,high school,standard,none,48,62,60
+male,group E,some college,standard,none,76,67,67
+female,group D,associate's degree,standard,none,82,95,89
+male,group C,associate's degree,free/reduced,none,68,65,61
+male,group B,high school,standard,none,79,60,65
+male,group D,some college,standard,completed,82,82,88
+male,group D,some college,standard,none,76,71,73
+female,group C,some college,standard,completed,88,93,93
+female,group A,some high school,standard,none,71,83,77
+female,group D,associate's degree,free/reduced,completed,75,90,88
+female,group A,some high school,standard,completed,92,100,97
+male,group C,master's degree,free/reduced,none,54,59,50
+male,group B,master's degree,free/reduced,none,49,53,52
+female,group C,some college,standard,none,60,72,74
+male,group E,some college,standard,none,83,80,73
+male,group C,some college,standard,none,76,78,75
+male,group B,some college,standard,none,58,50,45
+male,group B,some college,standard,completed,69,77,77
+male,group C,some high school,free/reduced,none,69,71,65
+male,group A,some high school,standard,completed,66,68,64
+male,group D,some college,free/reduced,none,77,62,64
+male,group A,high school,standard,none,68,70,66
+female,group C,some college,standard,completed,64,82,77
+male,group D,some high school,standard,none,60,59,54
+female,group E,associate's degree,standard,none,87,94,95
+female,group C,some college,standard,completed,63,78,80
+female,group C,associate's degree,standard,none,66,77,73
+female,group C,high school,standard,none,59,72,68
+female,group C,some high school,free/reduced,completed,64,79,77
+male,group B,associate's degree,standard,none,90,78,81
+male,group D,bachelor's degree,standard,none,54,49,47
+female,group B,high school,free/reduced,none,50,67,63
+female,group B,associate's degree,standard,completed,94,87,92
+female,group D,some college,standard,completed,82,97,96
+male,group D,bachelor's degree,standard,completed,67,61,68
+female,group B,associate's degree,standard,none,53,58,65
+female,group D,some college,free/reduced,completed,52,59,65
+male,group D,bachelor's degree,standard,none,69,58,57
+male,group C,some high school,free/reduced,completed,51,56,53
+male,group C,master's degree,standard,completed,91,85,85
+male,group A,some college,standard,completed,100,96,86
+male,group B,high school,standard,none,62,55,54
+male,group D,some high school,standard,none,84,84,80
+male,group D,some high school,standard,completed,71,69,68
+female,group E,associate's degree,standard,none,84,95,92
+female,group D,associate's degree,free/reduced,none,46,56,57
+male,group C,some college,free/reduced,none,58,57,54
+female,group C,some high school,standard,completed,67,74,77
+female,group D,associate's degree,free/reduced,none,47,53,58
+male,group C,some high school,standard,none,57,61,54
+female,group B,high school,free/reduced,completed,67,78,79
+female,group D,master's degree,free/reduced,completed,85,95,100
+female,group B,some high school,standard,none,66,69,68
+female,group D,some high school,standard,none,59,72,80
+male,group C,some college,free/reduced,completed,67,74,70
+female,group D,some college,free/reduced,none,49,58,60
+female,group E,some college,standard,completed,63,72,70
+male,group D,master's degree,standard,none,82,82,74
+female,group D,master's degree,standard,none,64,63,66
+male,group A,bachelor's degree,standard,none,66,64,62
+female,group B,associate's degree,standard,none,57,69,68
+male,group D,associate's degree,standard,completed,67,72,67
+female,group D,some college,free/reduced,none,69,65,74
+male,group C,high school,standard,none,90,75,69
+female,group D,some high school,standard,completed,66,78,78
+male,group E,associate's degree,standard,completed,94,85,82
+male,group B,some high school,standard,completed,64,53,57
+female,group D,some high school,standard,completed,64,60,74
+male,group C,master's degree,standard,none,79,72,69
+female,group C,some high school,standard,completed,59,54,67
+male,group B,some college,standard,completed,71,75,70
+female,group B,bachelor's degree,standard,none,67,86,83
+female,group A,some high school,free/reduced,none,59,73,69
+female,group D,some college,free/reduced,none,58,67,62
+male,group C,some college,free/reduced,none,80,64,66
+male,group D,high school,standard,completed,55,41,48
+male,group A,some high school,standard,none,64,50,43
+male,group C,bachelor's degree,standard,completed,94,90,91
+female,group C,high school,free/reduced,none,34,42,39
+female,group B,high school,standard,none,58,62,59
+female,group B,associate's degree,free/reduced,none,53,70,70
+male,group B,some college,standard,completed,91,96,91
+female,group D,high school,standard,none,45,63,59
+female,group E,master's degree,free/reduced,none,45,56,54
+male,group C,master's degree,free/reduced,completed,46,42,46
+female,group B,high school,standard,completed,68,83,78
+male,group C,some high school,standard,completed,63,60,57
+female,group C,master's degree,free/reduced,none,40,58,54
+female,group C,associate's degree,standard,none,85,89,95
+male,group C,high school,standard,completed,75,69,68
+male,group C,associate's degree,standard,completed,82,75,77
+male,group D,bachelor's degree,free/reduced,completed,39,42,38
+female,group B,bachelor's degree,free/reduced,none,77,85,87
+male,group C,associate's degree,free/reduced,completed,43,45,50
+male,group C,associate's degree,free/reduced,completed,60,51,56
+male,group C,associate's degree,standard,none,49,51,43
+female,group C,some college,free/reduced,none,62,67,62
+female,group B,some college,standard,none,82,85,87
+male,group C,high school,standard,none,84,77,74
+female,group B,associate's degree,standard,completed,61,86,87
+female,group D,some college,free/reduced,completed,67,86,83
+male,group A,associate's degree,standard,none,54,53,47
+female,group D,associate's degree,standard,none,74,81,83
+female,group C,some college,standard,none,58,67,72
+female,group C,some college,standard,none,52,58,58
+male,group A,bachelor's degree,free/reduced,completed,49,58,60
+female,group D,high school,standard,none,78,81,80
+male,group B,associate's degree,standard,none,48,43,45
+male,group E,some college,standard,none,66,57,52
+female,group D,some college,free/reduced,none,49,65,61
+male,group C,high school,standard,none,68,60,53
+female,group E,some college,standard,none,87,85,93
+male,group D,high school,standard,none,70,70,70
+male,group B,associate's degree,standard,completed,65,65,63
+male,group E,some high school,standard,none,82,67,61
+female,group E,master's degree,standard,none,81,92,91
+male,group D,some college,standard,none,81,82,84
+female,group E,master's degree,free/reduced,none,81,86,87
+female,group D,some high school,free/reduced,completed,69,86,81
+male,group E,associate's degree,standard,none,72,64,63
+female,group D,associate's degree,standard,completed,57,78,79
+male,group B,associate's degree,free/reduced,none,67,62,60
+female,group D,some college,free/reduced,completed,58,63,73
+male,group D,some college,free/reduced,completed,69,60,63
+male,group D,associate's degree,standard,none,80,63,63
+female,group B,associate's degree,free/reduced,none,54,65,65
+female,group C,some high school,free/reduced,completed,65,76,75
+female,group A,high school,free/reduced,completed,34,48,41
+male,group B,some college,standard,none,47,43,41
+male,group D,some college,standard,completed,65,77,74
+female,group D,high school,free/reduced,none,39,52,46
+female,group C,some college,standard,completed,69,90,88
+female,group B,some high school,free/reduced,completed,63,78,79
+male,group A,associate's degree,standard,completed,97,92,86
+female,group C,high school,standard,none,29,29,30
+female,group B,associate's degree,free/reduced,none,53,71,67
+female,group C,associate's degree,standard,none,65,76,76
+female,group D,master's degree,standard,completed,70,71,74
+male,group E,some high school,standard,none,94,88,78
+male,group C,associate's degree,standard,none,74,73,67
+female,group B,high school,standard,none,62,62,63
+male,group D,some college,free/reduced,none,70,63,58
+male,group D,high school,free/reduced,none,60,57,51
+male,group C,bachelor's degree,free/reduced,none,53,58,55
+male,group C,high school,free/reduced,none,59,53,52
+female,group D,some high school,standard,completed,80,92,88
+female,group A,some high school,standard,completed,59,85,80
+male,group C,high school,standard,none,71,66,65
+female,group D,some high school,standard,none,80,90,82
+male,group C,high school,standard,completed,53,52,49
+male,group B,associate's degree,standard,none,61,42,41
+male,group C,high school,standard,none,70,56,51
+male,group C,high school,free/reduced,none,61,60,55
+male,group A,some high school,standard,completed,62,67,69
+female,group D,some college,free/reduced,none,77,86,86
+female,group C,associate's degree,standard,completed,55,72,79
+female,group C,some high school,standard,none,77,91,88
+female,group E,high school,free/reduced,none,41,45,40
+male,group D,associate's degree,standard,completed,87,84,85
+male,group A,high school,standard,none,57,43,47
+male,group C,some high school,free/reduced,completed,56,61,60
+male,group B,high school,standard,completed,52,49,46
+female,group C,associate's degree,standard,none,40,59,51
+female,group C,some high school,standard,none,65,69,76
+female,group B,some college,free/reduced,none,74,81,76
+female,group C,some college,standard,completed,67,81,79
+male,group C,some high school,free/reduced,completed,53,37,40
+female,group B,associate's degree,standard,none,80,86,83
+female,group C,bachelor's degree,free/reduced,completed,43,51,54
+female,group E,associate's degree,standard,completed,79,88,94
+male,group C,bachelor's degree,standard,none,69,63,61
+female,group B,associate's degree,standard,none,82,80,77
+male,group C,associate's degree,free/reduced,none,49,51,51
+male,group D,high school,free/reduced,none,63,57,56
+female,group C,associate's degree,standard,none,59,66,67
+male,group E,associate's degree,free/reduced,completed,77,69,68
+female,group E,bachelor's degree,free/reduced,none,61,58,62
+male,group C,bachelor's degree,standard,none,83,78,73
+female,group D,some college,standard,none,62,70,72
+female,group B,high school,standard,completed,69,76,74
+female,group C,associate's degree,free/reduced,none,64,73,68
+female,group E,high school,standard,none,50,50,47
+male,group D,bachelor's degree,standard,none,88,78,83
+male,group A,some college,free/reduced,completed,81,78,81
+female,group C,associate's degree,standard,none,49,53,53
+female,group B,high school,standard,none,74,72,72
+male,group D,high school,free/reduced,completed,73,68,66
+male,group D,some college,standard,none,76,64,66
+female,group E,some college,standard,none,68,70,66
+male,group C,some college,standard,none,61,61,62
+female,group E,bachelor's degree,standard,none,100,100,100
+male,group B,high school,standard,none,60,68,60
+female,group D,some college,free/reduced,none,55,71,69
+male,group D,some high school,standard,completed,78,81,86
+female,group C,some college,standard,none,84,87,91
+male,group C,high school,standard,none,52,53,49
+female,group B,master's degree,free/reduced,completed,58,76,78
+female,group C,some college,free/reduced,none,22,39,33
+male,group E,bachelor's degree,standard,none,82,62,62
+female,group D,master's degree,standard,none,74,79,82
+male,group B,some high school,free/reduced,none,48,52,45
+female,group C,high school,free/reduced,none,41,46,43
+male,group D,some high school,standard,none,69,66,61
+male,group D,bachelor's degree,standard,none,80,73,72
+female,group A,some college,free/reduced,none,61,60,57
+male,group C,master's degree,standard,none,71,67,67
+female,group B,some high school,standard,completed,65,82,78
+female,group E,some high school,free/reduced,none,32,34,38
+male,group A,associate's degree,free/reduced,completed,40,55,53
+female,group E,master's degree,standard,none,62,68,68
+male,group B,bachelor's degree,standard,none,59,54,51
+male,group D,associate's degree,free/reduced,none,77,78,73
+male,group D,some high school,standard,completed,77,68,69
+female,group D,some high school,free/reduced,completed,40,65,64
+female,group C,some college,standard,completed,88,95,94
+male,group C,high school,standard,none,50,48,42
+female,group C,bachelor's degree,standard,completed,52,61,66
+male,group B,some college,standard,none,79,67,67
+male,group C,associate's degree,standard,none,76,70,68
+male,group A,some high school,free/reduced,none,79,82,73
+male,group B,high school,standard,none,82,82,80
+male,group D,high school,standard,none,88,78,75
+female,group D,some college,standard,none,77,68,77
+female,group E,associate's degree,standard,none,100,100,100
+female,group D,some college,standard,completed,68,78,77
+female,group C,some college,free/reduced,completed,63,73,71
+female,group D,some college,free/reduced,none,71,83,83
+male,group E,some college,standard,none,76,71,72
+female,group D,bachelor's degree,standard,completed,71,76,83
+female,group C,high school,free/reduced,none,66,76,68
+male,group C,some college,standard,none,58,49,42
+female,group E,associate's degree,free/reduced,none,50,56,54
+female,group D,some college,standard,none,51,58,54
+male,group D,bachelor's degree,free/reduced,completed,74,71,80
+male,group C,some college,free/reduced,none,35,28,27
+female,group C,high school,free/reduced,none,35,61,54
+female,group C,some college,free/reduced,completed,67,75,70
+male,group A,some high school,standard,none,71,62,50
+female,group B,bachelor's degree,standard,none,75,84,80
+male,group B,high school,free/reduced,none,30,24,15
+male,group D,some college,standard,none,71,49,52
+female,group E,master's degree,free/reduced,none,56,72,65
+female,group C,some college,standard,none,58,59,66
+female,group B,some high school,standard,none,70,64,72
+male,group B,some high school,standard,completed,51,54,41
+male,group C,high school,standard,none,71,60,61
+female,group C,some high school,free/reduced,none,55,65,62
+male,group C,high school,standard,none,70,70,65
+female,group B,some high school,standard,none,67,89,82
+female,group B,some high school,free/reduced,completed,74,90,88
+female,group C,high school,free/reduced,none,33,41,43
+male,group E,some high school,standard,completed,81,75,76
+female,group E,bachelor's degree,standard,completed,71,70,70
+female,group C,master's degree,standard,none,73,78,74
+female,group D,associate's degree,free/reduced,completed,57,74,76
+female,group D,some high school,free/reduced,none,67,84,84
+male,group B,some college,free/reduced,completed,60,62,60
+female,group B,some high school,free/reduced,none,72,81,79
+male,group E,some high school,free/reduced,completed,78,83,80
+male,group D,associate's degree,standard,none,80,68,72
+male,group C,high school,standard,completed,72,67,64
+female,group C,associate's degree,standard,none,69,80,71
+male,group B,some high school,standard,completed,63,67,67
+female,group A,some high school,free/reduced,none,38,43,43
+male,group D,high school,free/reduced,none,44,51,48
+female,group C,some college,standard,none,71,81,80
+female,group E,some college,standard,none,100,92,97
+female,group B,master's degree,standard,none,77,90,84
+male,group C,bachelor's degree,standard,completed,83,82,84
+male,group C,associate's degree,free/reduced,none,77,67,64
+male,group C,master's degree,free/reduced,none,61,67,66
+female,group E,some college,standard,none,71,70,76
+male,group B,some college,free/reduced,none,41,39,34
+male,group C,bachelor's degree,standard,completed,63,64,66
+male,group B,associate's degree,standard,none,80,76,64
+female,group E,associate's degree,standard,none,51,51,54
+male,group E,some college,free/reduced,none,93,90,83
+male,group B,some high school,standard,completed,61,56,56
+male,group B,high school,standard,none,59,58,47
+male,group A,some high school,standard,completed,46,41,43
+female,group B,some college,free/reduced,completed,65,75,70
+female,group C,high school,free/reduced,none,53,72,64
+female,group C,associate's degree,free/reduced,completed,82,93,93
+female,group C,some college,standard,none,82,90,94
+female,group B,bachelor's degree,free/reduced,none,78,79,76
+female,group C,some college,free/reduced,completed,64,85,85
+male,group E,high school,standard,none,70,55,56
+male,group C,associate's degree,standard,completed,51,60,58
+female,group C,associate's degree,standard,completed,75,82,90
+female,group C,associate's degree,standard,completed,96,96,99
+female,group D,associate's degree,standard,none,59,70,65
+male,group D,some college,free/reduced,none,49,57,46
+female,group C,high school,free/reduced,none,42,62,60
+female,group D,some high school,free/reduced,none,48,54,53
+male,group C,associate's degree,standard,completed,98,87,90
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+{"learn":[4.696353448],"iteration":90,"passed_time":0.07266218771,"remaining_time":0.007186370214},
+{"learn":[4.685069481],"iteration":91,"passed_time":0.07340546744,"remaining_time":0.006383084125},
+{"learn":[4.679105072],"iteration":92,"passed_time":0.07422149023,"remaining_time":0.005586563781},
+{"learn":[4.669998076],"iteration":93,"passed_time":0.07506698695,"remaining_time":0.004791509805},
+{"learn":[4.655194439],"iteration":94,"passed_time":0.075862923,"remaining_time":0.003992785421},
+{"learn":[4.6402433],"iteration":95,"passed_time":0.07663090791,"remaining_time":0.003192954496},
+{"learn":[4.620675835],"iteration":96,"passed_time":0.07743521929,"remaining_time":0.002394903689},
+{"learn":[4.617949274],"iteration":97,"passed_time":0.07815445502,"remaining_time":0.001594988878},
+{"learn":[4.611545659],"iteration":98,"passed_time":0.07892583615,"remaining_time":0.0007972306682},
+{"learn":[4.59686047],"iteration":99,"passed_time":0.07972493799,"remaining_time":0}
+]}

catboost_info/learn_error.tsv

@@ -0,0 +1,101 @@
+iter	RMSE
+0	13.99348315
+1	13.08679896
+2	12.24911066
+3	11.53058054
+4	10.84207334
+5	10.30180643
+6	9.78256195
+7	9.383051568
+8	8.99755936
+9	8.583469865
+10	8.227667947
+11	7.929112785
+12	7.684630471
+13	7.424891669
+14	7.201854992
+15	6.982008334
+16	6.825014781
+17	6.660105229
+18	6.506800805
+19	6.376253871
+20	6.266699941
+21	6.183713198
+22	6.095001646
+23	6.017210026
+24	5.926879154
+25	5.869115164
+26	5.794295297
+27	5.736659494
+28	5.688737334
+29	5.646276694
+30	5.60024339
+31	5.562148648
+32	5.518152613
+33	5.469872589
+34	5.45057841
+35	5.428112506
+36	5.402930191
+37	5.378422269
+38	5.357370046
+39	5.323772692
+40	5.299500716
+41	5.281272066
+42	5.263540736
+43	5.254240202
+44	5.239421602
+45	5.217876804
+46	5.196339687
+47	5.173762601
+48	5.157351931
+49	5.145163366
+50	5.132132849
+51	5.121703354
+52	5.117554392
+53	5.110919902
+54	5.099775896
+55	5.081971316
+56	5.063256046
+57	5.046093491
+58	5.032051633
+59	5.018495584
+60	5.008909962
+61	4.99771367
+62	4.989916869
+63	4.981820588
+64	4.960666189
+65	4.94706364
+66	4.938906099
+67	4.920677053
+68	4.903676084
+69	4.897635401
+70	4.889952833
+71	4.882302534
+72	4.873750572
+73	4.865386403
+74	4.857493367
+75	4.848032763
+76	4.839634573
+77	4.826534384
+78	4.81907123
+79	4.811944485
+80	4.807339578
+81	4.79836765
+82	4.776924133
+83	4.768244651
+84	4.761240486
+85	4.751984925
+86	4.733949017
+87	4.727594275
+88	4.713457982
+89	4.706779065
+90	4.696353448
+91	4.685069481
+92	4.679105072
+93	4.669998076
+94	4.655194439
+95	4.6402433
+96	4.620675835
+97	4.617949274
+98	4.611545659
+99	4.59686047

catboost_info/time_left.tsv

@@ -0,0 +1,101 @@
+iter	Passed	Remaining
+0	0	93
+1	1	83
+2	2	80
+3	3	83
+4	4	83
+5	5	81
+6	6	81
+7	7	80
+8	7	80
+9	8	78
+10	9	78
+11	10	76
+12	11	75
+13	12	74
+14	13	73
+15	13	72
+16	14	71
+17	15	71
+18	16	69
+19	17	68
+20	18	68
+21	19	68
+22	20	67
+23	20	66
+24	21	64
+25	22	63
+26	23	62
+27	23	61
+28	24	60
+29	25	59
+30	26	58
+31	26	57
+32	27	56
+33	28	55
+34	29	54
+35	30	53
+36	30	52
+37	31	51
+38	32	51
+39	33	50
+40	34	49
+41	35	48
+42	35	47
+43	36	46
+44	37	45
+45	37	44
+46	38	43
+47	39	42
+48	40	41
+49	40	40
+50	41	40
+51	42	39
+52	43	38
+53	44	37
+54	44	36
+55	45	35
+56	46	35
+57	47	34
+58	48	33
+59	48	32
+60	49	31
+61	50	30
+62	51	30
+63	51	29
+64	52	28
+65	53	27
+66	54	26
+67	54	25
+68	55	25
+69	56	24
+70	57	23
+71	57	22
+72	58	21
+73	59	20
+74	60	20
+75	61	19
+76	61	18
+77	62	17
+78	63	16
+79	64	16
+80	64	15
+81	65	14
+82	66	13
+83	67	12
+84	68	12
+85	68	11
+86	69	10
+87	70	9
+88	71	8
+89	71	7
+90	72	7
+91	73	6
+92	74	5
+93	75	4
+94	75	3
+95	76	3
+96	77	2
+97	78	1
+98	78	0
+99	79	0

dockerfile

@@ -0,0 +1,9 @@
+FROM python:3.8-slim-buster
+WORKDIR /app
+COPY . /app
+
+RUN apt update -y && install awscli -y
+
+RUN pip install -r requirements.text
+
+CMD ["python 3","app.py"]

flagged/log.csv

@@ -0,0 +1,4 @@
+Gender,Race,Parent Education,Lunch,Coaching,writing Score,reading score,output,flag,username,timestamp
+female,group A,some college,standard,none,70,19,27.75,,,2023-09-16 20:35:47.672461
+Gender,Race,Parent Education,Lunch,Coaching,writing Score,reading score,output,flag,username,timestamp
+female,group A,some college,standard,none,70,19,27.75,,,2023-09-16 20:35:47.672461

model_training.ipynb

@@ -0,0 +1,542 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1.1 Import Data and Required Packages\n",
+    "Importing Pandas, Numpy, Matplotlib, Seaborn and Warings Library.\n",
+    "# Basic Import"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Basic Import\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt \n",
+    "import seaborn as sns\n",
+    "# Modelling\n",
+    "from sklearn.metrics import mean_squared_error, r2_score\n",
+    "from sklearn.neighbors import KNeighborsRegressor\n",
+    "from sklearn.tree import DecisionTreeRegressor\n",
+    "from sklearn.ensemble import RandomForestRegressor,AdaBoostRegressor\n",
+    "from sklearn.svm import SVR\n",
+    "from sklearn.linear_model import LinearRegression, Ridge,Lasso\n",
+    "from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error\n",
+    "from sklearn.model_selection import RandomizedSearchCV\n",
+    "from catboost import CatBoostRegressor\n",
+    "from xgboost import XGBRegressor\n",
+    "import warnings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df =  pd.read_csv(\"artifact/raw.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "gender => ['female' 'male']\n",
+      "\n",
+      "race_ethnicity => ['group B' 'group C' 'group A' 'group D' 'group E']\n",
+      "\n",
+      "parental_level_of_education => [\"bachelor's degree\" 'some college' \"master's degree\" \"associate's degree\"\n",
+      " 'high school' 'some high school']\n",
+      "\n",
+      "lunch => ['standard' 'free/reduced']\n",
+      "\n",
+      "test_preparation_course => ['none' 'completed']\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in df.columns:\n",
+    "    if df[i].dtype == \"object\":\n",
+    "        print(\"{} =>\".format(i),df[i].unique())\n",
+    "        print(\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = df.drop(columns=['math_score'],axis=1)\n",
+    "y  = df[\"math_score\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create Column Transformer with 3 types of transformers\n",
+    "num_features = X.select_dtypes(exclude=\"object\").columns\n",
+    "cat_features = X.select_dtypes(include=\"object\").columns\n",
+    "\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "from sklearn.compose import ColumnTransformer\n",
+    "\n",
+    "numeric_transformer = StandardScaler()\n",
+    "oh_transformer = OneHotEncoder()\n",
+    "\n",
+    "preprocessor = ColumnTransformer(\n",
+    "    [\n",
+    "        (\"OneHotEncoder\", oh_transformer, cat_features),\n",
+    "         (\"StandardScaler\", numeric_transformer, num_features),        \n",
+    "    ]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X =  preprocessor.fit_transform(X)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1000, 19)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((800, 19), (200, 19))"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# separate dataset into train and test\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.2,random_state=42)\n",
+    "X_train.shape, X_test.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***Create an Evaluate Function to give all metrics after model Training***"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def evaluate_model(true, predicted):\n",
+    "    mae = mean_absolute_error(true, predicted)\n",
+    "    mse = mean_squared_error(true, predicted)\n",
+    "    rmse = np.sqrt(mean_squared_error(true, predicted))\n",
+    "    r2_square = r2_score(true, predicted)\n",
+    "    return mae, rmse, r2_square"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Linear Regression\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 5.3243\n",
+      "- Mean Absolute Error: 4.2671\n",
+      "- R2 Score: 0.8743\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 5.3960\n",
+      "- Mean Absolute Error: 4.2158\n",
+      "- R2 Score: 0.8803\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "Lasso\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 6.5938\n",
+      "- Mean Absolute Error: 5.2063\n",
+      "- R2 Score: 0.8071\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 6.5197\n",
+      "- Mean Absolute Error: 5.1579\n",
+      "- R2 Score: 0.8253\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "Ridge\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 5.3233\n",
+      "- Mean Absolute Error: 4.2650\n",
+      "- R2 Score: 0.8743\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 5.3904\n",
+      "- Mean Absolute Error: 4.2111\n",
+      "- R2 Score: 0.8806\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "K-Neighbors Regressor\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 5.7077\n",
+      "- Mean Absolute Error: 4.5167\n",
+      "- R2 Score: 0.8555\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 7.2530\n",
+      "- Mean Absolute Error: 5.6210\n",
+      "- R2 Score: 0.7838\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "Decision Tree\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 0.2795\n",
+      "- Mean Absolute Error: 0.0187\n",
+      "- R2 Score: 0.9997\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 7.7785\n",
+      "- Mean Absolute Error: 6.2350\n",
+      "- R2 Score: 0.7514\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "Random Forest Regressor\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 2.2860\n",
+      "- Mean Absolute Error: 1.8215\n",
+      "- R2 Score: 0.9768\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 5.9993\n",
+      "- Mean Absolute Error: 4.6304\n",
+      "- R2 Score: 0.8521\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "XGBRegressor\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 1.0073\n",
+      "- Mean Absolute Error: 0.6875\n",
+      "- R2 Score: 0.9955\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 6.4733\n",
+      "- Mean Absolute Error: 5.0577\n",
+      "- R2 Score: 0.8278\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "CatBoosting Regressor\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 3.0427\n",
+      "- Mean Absolute Error: 2.4054\n",
+      "- R2 Score: 0.9589\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 6.0086\n",
+      "- Mean Absolute Error: 4.6125\n",
+      "- R2 Score: 0.8516\n",
+      "===================================\n",
+      "\n",
+      "\n",
+      "AdaBoost Regressor\n",
+      "Model performance for Training set\n",
+      "- Root Mean Squared Error: 5.7923\n",
+      "- Mean Absolute Error: 4.7185\n",
+      "- R2 Score: 0.8512\n",
+      "----------------------------------\n",
+      "Model performance for Test set\n",
+      "- Root Mean Squared Error: 5.9460\n",
+      "- Mean Absolute Error: 4.6538\n",
+      "- R2 Score: 0.8547\n",
+      "===================================\n",
+      "\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "models = {\n",
+    "    \"Linear Regression\": LinearRegression(),\n",
+    "    \"Lasso\": Lasso(),\n",
+    "    \"Ridge\": Ridge(),\n",
+    "    \"K-Neighbors Regressor\": KNeighborsRegressor(),\n",
+    "    \"Decision Tree\": DecisionTreeRegressor(),\n",
+    "    \"Random Forest Regressor\": RandomForestRegressor(),\n",
+    "    \"XGBRegressor\": XGBRegressor(), \n",
+    "    \"CatBoosting Regressor\": CatBoostRegressor(verbose=False),\n",
+    "    \"AdaBoost Regressor\": AdaBoostRegressor()\n",
+    "}\n",
+    "model_list = []\n",
+    "r2_list =[]\n",
+    "\n",
+    "for i in range(len(list(models))):\n",
+    "    model = list(models.values())[i]\n",
+    "    model.fit(X_train, y_train) # Train model\n",
+    "\n",
+    "    # Make predictions\n",
+    "    y_train_pred = model.predict(X_train)\n",
+    "    y_test_pred = model.predict(X_test)\n",
+    "    \n",
+    "    # Evaluate Train and Test dataset\n",
+    "    model_train_mae , model_train_rmse, model_train_r2 = evaluate_model(y_train, y_train_pred)\n",
+    "\n",
+    "    model_test_mae , model_test_rmse, model_test_r2 = evaluate_model(y_test, y_test_pred)\n",
+    "\n",
+    "    \n",
+    "    print(list(models.keys())[i])\n",
+    "    model_list.append(list(models.keys())[i])\n",
+    "    \n",
+    "    print('Model performance for Training set')\n",
+    "    print(\"- Root Mean Squared Error: {:.4f}\".format(model_train_rmse))\n",
+    "    print(\"- Mean Absolute Error: {:.4f}\".format(model_train_mae))\n",
+    "    print(\"- R2 Score: {:.4f}\".format(model_train_r2))\n",
+    "\n",
+    "    print('----------------------------------')\n",
+    "    \n",
+    "    print('Model performance for Test set')\n",
+    "    print(\"- Root Mean Squared Error: {:.4f}\".format(model_test_rmse))\n",
+    "    print(\"- Mean Absolute Error: {:.4f}\".format(model_test_mae))\n",
+    "    print(\"- R2 Score: {:.4f}\".format(model_test_r2))\n",
+    "    r2_list.append(model_test_r2)\n",
+    "    \n",
+    "    print('='*35)\n",
+    "    print('\\n')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***Results***"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Model Name</th>\n",
+       "      <th>R2_Score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Ridge</td>\n",
+       "      <td>0.880593</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Linear Regression</td>\n",
+       "      <td>0.880345</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>AdaBoost Regressor</td>\n",
+       "      <td>0.854710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Random Forest Regressor</td>\n",
+       "      <td>0.852094</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>CatBoosting Regressor</td>\n",
+       "      <td>0.851632</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>XGBRegressor</td>\n",
+       "      <td>0.827797</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Lasso</td>\n",
+       "      <td>0.825320</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>K-Neighbors Regressor</td>\n",
+       "      <td>0.783813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Decision Tree</td>\n",
+       "      <td>0.751354</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Model Name  R2_Score\n",
+       "2                    Ridge  0.880593\n",
+       "0        Linear Regression  0.880345\n",
+       "8       AdaBoost Regressor  0.854710\n",
+       "5  Random Forest Regressor  0.852094\n",
+       "7    CatBoosting Regressor  0.851632\n",
+       "6             XGBRegressor  0.827797\n",
+       "1                    Lasso  0.825320\n",
+       "3    K-Neighbors Regressor  0.783813\n",
+       "4            Decision Tree  0.751354"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.DataFrame(list(zip(model_list, r2_list)), columns=['Model Name', 'R2_Score']).sort_values(by=[\"R2_Score\"],ascending=False)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ml-project",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

requirements.txt

@@ -0,0 +1,10 @@
+pandas
+numpy
+seaborn
+matplotlib
+scikit-learn
+catboost
+xgboost
+dill
+gradio
+-e .

setup.py

@@ -0,0 +1,19 @@
+from setuptools import find_packages,setup
+HYPE_E_DOT =  '-e .'
+def get_req(path_file:str):
+    requirements = []
+    with open(path_file) as file_obj:
+        requirements =  file_obj.readlines()
+        requirements =  [req.replace("\n","") for req in requirements]
+        
+        if HYPE_E_DOT in requirements:
+            requirements.remove(HYPE_E_DOT)
+    return requirements        
+
+setup(
+    name = "ml_project",
+    author=  "Rahul",
+    version= "0.0.1",
+    packages= find_packages(),
+    install_require =  get_req("requirements.txt")
+        )

src/Components/Data_ingestation.py

@@ -0,0 +1,60 @@
+import os
+import sys 
+from src.exception import CustomException
+from src.logger import logging
+
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from dataclasses import dataclass
+from data_transformation import Data_transformation
+from model_tranier import Model_training_config,Model_trainer
+@dataclass
+class Data_ingestion_config:
+    train_data_path: str =  os.path.join("artifact","train.csv")
+    test_data_path: str =  os.path.join("artifact","test.csv")
+    raw_data_path: str =  os.path.join("artifact","raw.csv")
+
+class Data_ingestion:
+    def __init__(self):
+        self.ingestion_config =  Data_ingestion_config()
+
+    def intiate_data_ingestion(self):
+        logging.info("Entered the data ingestation method or component")
+        try:
+            NAMES = []
+            df = pd.read_csv(filepath_or_buffer="data.csv")
+            logging.info("Read the dataset as dataframe")
+
+            df = df.c
+
+            os.makedirs(os.path.dirname(self.ingestion_config.train_data_path),exist_ok= True) 
+            
+            df.to_csv(self.ingestion_config.raw_data_path,index = False,header = True)
+            logging.info("Train_test_split intiated")
+
+            train_set,test_set = train_test_split(df,test_size=0.2,random_state= 1)
+
+            train_set.to_csv(self.ingestion_config.train_data_path,index = False,header = True)
+            test_set.to_csv(self.ingestion_config.test_data_path,index = False,header = True)
+
+            logging.info("Ingestion of data is done")
+
+            return(
+                self.ingestion_config.train_data_path,
+                self.ingestion_config.test_data_path
+            )
+
+        except Exception as e:
+            raise CustomException(e,sys)
+        
+if __name__ == "__main__":
+    obj =  Data_ingestion()
+    train_data,test_data = obj.intiate_data_ingestion() 
+
+    data_trans =  Data_transformation()
+    train_arr,test_arr,_ =  data_trans.initiate_data_transformation(train_data,test_data)
+
+    modeltrainer =  Model_trainer()
+    print(modeltrainer.intiate_model_trainer(train_arr,test_arr))    
+
+                

src/Components/data_transformation.py

@@ -0,0 +1,107 @@
+import sys 
+import pandas as pd 
+import numpy as  np
+import os
+from dataclasses import dataclass
+from sklearn.compose import ColumnTransformer
+from sklearn.impute import SimpleImputer
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import OneHotEncoder,StandardScaler
+
+from src.exception import CustomException
+from src.logger import logging
+
+
+from src.utils import save_object
+
+@dataclass
+
+class Data_transformation_config:
+    Preprocessor_obj_file = os.path.join("artifact","Preprocessor.pkl")
+
+class Data_transformation:
+    def __init__(self) -> None:
+        self.data_transformation_config =  Data_transformation_config()
+    def get_data_transformer_object(self):
+        try:
+            numerical_columns = ["writing_score","reading_score"]
+            categorical_columns = [
+                "gender",
+                "race_ethnicity",
+                "parental_level_of_education",
+                "lunch",
+                "test_preparation_course",
+            ]
+
+            num_pipeline = Pipeline(
+                steps = [
+                    ("imputer",SimpleImputer(strategy="median")),
+                    ("scaler",StandardScaler())
+                ]
+                )
+            cat_pipeline = Pipeline(
+                steps = [
+                    ("imputer",SimpleImputer(strategy= "most_frequent")),
+                    ("one_hot_encoder",OneHotEncoder()),
+                    ("scaler",StandardScaler(with_mean = False))
+
+                ]
+            )
+            logging.info(f"Categorical Columns:{categorical_columns}")
+            logging.info(f"Numerical Columns:{numerical_columns}")
+
+            preprocessor = ColumnTransformer(
+                [
+                    ("num_pipeline",num_pipeline,numerical_columns),
+                    ("cat_pipeline",cat_pipeline,categorical_columns)
+                ]
+            )
+            return preprocessor
+        except Exception as e:
+            raise CustomException(e,sys)
+        
+
+    def initiate_data_transformation(self,train_path,test_path):
+
+        try:
+            train_df = pd.read_csv(train_path)
+            test_df = pd.read_csv(test_path)
+
+            logging.info("Read train and test data completed")
+            logging.info("Obtaining preprocessing object")
+
+            preprocessor_obj = self.get_data_transformer_object()
+
+            target_column_name = "math_score"
+            numerical_columns = ["writing_score","reading_score"]
+
+            input_feature_train_df = train_df.drop(columns = [target_column_name],axis = 1)
+            target_feature_train_df = train_df[target_column_name]
+
+            input_feature_test_df = test_df.drop(columns = [target_column_name],axis = 1)
+            target_feature_test_df = test_df[target_column_name]
+
+            logging.info(
+                f"Applying preprocessing object on training dataframe and testing dataframe.")
+            
+            input_feature_train_arr = preprocessor_obj.fit_transform(input_feature_train_df)
+            input_feature_test_arr =  preprocessor_obj.transform(input_feature_test_df)
+
+            train_arr = np.c_[input_feature_train_arr,np.array(target_feature_train_df)]
+            test_arr = np.c_[input_feature_test_arr,np.array(target_feature_test_df)]
+
+            logging.info(f"Saved preprocessing object.")
+
+            save_object(
+                file_path = self.data_transformation_config.Preprocessor_obj_file,
+                obj = preprocessor_obj
+            )
+
+            return (
+                train_arr,
+                test_arr,
+                self.data_transformation_config.Preprocessor_obj_file
+            )
+        except Exception as e:
+            raise CustomException(e,sys)
+

src/Components/model_tranier.py

@@ -0,0 +1,110 @@
+# Basic Import
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt 
+import seaborn as sns
+import os
+# Modelling
+from sklearn.metrics import mean_squared_error, r2_score
+from sklearn.neighbors import KNeighborsRegressor
+from sklearn.tree import DecisionTreeRegressor
+from sklearn.ensemble import RandomForestRegressor,AdaBoostRegressor,GradientBoostingRegressor
+from sklearn.svm import SVR
+from sklearn.linear_model import LinearRegression, Ridge,Lasso
+from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error
+from sklearn.model_selection import RandomizedSearchCV
+from catboost import CatBoostRegressor
+from xgboost import XGBRegressor
+import warnings
+import sys
+from dataclasses import dataclass
+from src.utils import save_object,evaluate_model
+from src.logger import logging
+from src.exception import CustomException
+
+
+@dataclass
+
+class Model_training_config:
+    trained_model_path = os.path.join("artifact","model.pkl")
+class Model_trainer:
+    def __init__(self) -> None:
+        self.model_trainer_config = Model_training_config()
+    
+    def intiate_model_trainer(self,train_array,test_array):
+        try:
+            logging.info("Split training and testing data ")
+            x_train,y_train,x_test,y_test = (
+                train_array[:,:-1],
+                train_array[:,-1],
+                test_array[:,:-1],
+                test_array[:,-1]
+            )
+            models={
+                "Random Forest": RandomForestRegressor(),
+                "Decision Tree": DecisionTreeRegressor(),
+                "Gradient Boosting": GradientBoostingRegressor(),
+                "Linear Regression": LinearRegression(),
+                "XGBRegressor": XGBRegressor(),
+                "CatBoosting Regressor": CatBoostRegressor(verbose=False),
+                "AdaBoost Regressor": AdaBoostRegressor(),
+            }
+            params={
+                "Decision Tree": {
+                    'criterion':['squared_error', 'friedman_mse', 'absolute_error', 'poisson'],
+                    # 'splitter':['best','random'],
+                    # 'max_features':['sqrt','log2'],
+                },
+                "Random Forest":{
+                    # 'criterion':['squared_error', 'friedman_mse', 'absolute_error', 'poisson'],
+                 
+                    # 'max_features':['sqrt','log2',None],
+                    'n_estimators': [8,16,32,64,128,256]
+                },
+                "Gradient Boosting":{
+                    # 'loss':['squared_error', 'huber', 'absolute_error', 'quantile'],
+                    'learning_rate':[.1,.01,.05,.001],
+                    'subsample':[0.6,0.7,0.75,0.8,0.85,0.9],
+                    # 'criterion':['squared_error', 'friedman_mse'],
+                    # 'max_features':['auto','sqrt','log2'],
+                    'n_estimators': [8,16,32,64,128,256]
+                },
+                "Linear Regression":{},
+                "XGBRegressor":{
+                    'learning_rate':[.1,.01,.05,.001],
+                    'n_estimators': [8,16,32,64,128,256]
+                },
+                "CatBoosting Regressor":{
+                    'depth': [6,8,10],
+                    'learning_rate': [0.01, 0.05, 0.1],
+                    'iterations': [30, 50, 100]
+                },
+                "AdaBoost Regressor":{
+                    'learning_rate':[.1,.01,0.5,.001],
+                    # 'loss':['linear','square','exponential'],
+                    'n_estimators': [8,16,32,64,128,256]
+                }
+                
+            }
+            model_report:dict = evaluate_model(X=x_train,Y = y_train,X_test = x_test,Y_test=y_test,Models = models,Param = params)
+
+            best_model_score = max(sorted(model_report.values()))
+
+            best_model_nm = list(model_report.keys())[
+                list(model_report.values()).index(best_model_score)
+            ]
+            best_model =  models[best_model_nm]
+            if best_model_score < 0.6:
+                raise CustomException("No best model found")
+            logging.info("Best model Found")
+
+            save_object(file_path= Model_training_config.trained_model_path,
+                        obj = best_model )
+            predicted = best_model.predict(x_test)
+            r2score = r2_score(y_test,predicted) 
+            return r2score
+            
+        except Exception as e:
+            raise CustomException(e,sys)
+        
+

src/Pipeline/predict_pipe.py

@@ -0,0 +1,79 @@
+from src.utils import load_Obj
+from src.utils import CustomException
+
+import sys
+import pandas as pd
+
+
+
+class Predict_Pipeline():
+    model_path = "artifact/model.pkl"
+    preprocessor_path = "artifact/Preprocessor.pkl"
+    def __init__(self):
+        print("model is loading")
+        self.model =  load_Obj(self.model_path)
+        self.preprocessor =  load_Obj(self.preprocessor_path)
+        print("model is loaded")
+    def predict(self,
+        gender: str,
+        race_ethnicity: str,
+        parental_level_of_education:str,
+        lunch: str,
+        test_preparation_course: str,
+        reading_score: int,
+        writing_score: int):
+        print("data is loading ")
+        data = CustomData(
+        gender,
+        race_ethnicity,
+        parental_level_of_education,
+        lunch,
+        test_preparation_course,
+        reading_score,
+        writing_score).get_data_as_data_frame()
+        print("data is loaded")
+        data_scaled =  self.preprocessor.transform(data)
+        pred =  self.model.predict(data_scaled)
+        print("prediction done")
+        return pred
+class CustomData:
+    def __init__(  self,
+        gender: str,
+        race_ethnicity: str,
+        parental_level_of_education,
+        lunch: str,
+        test_preparation_course: str,
+        reading_score: int,
+        writing_score: int):
+
+        self.gender = gender
+
+        self.race_ethnicity = race_ethnicity
+
+        self.parental_level_of_education = parental_level_of_education
+
+        self.lunch = lunch
+
+        self.test_preparation_course = test_preparation_course
+
+        self.reading_score = reading_score
+
+        self.writing_score = writing_score
+
+    def get_data_as_data_frame(self):
+        try:
+            custom_data_input_dict = {
+                "gender": [self.gender],
+                "race_ethnicity": [self.race_ethnicity],
+                "parental_level_of_education": [self.parental_level_of_education],
+                "lunch": [self.lunch],
+                "test_preparation_course": [self.test_preparation_course],
+                "reading_score": [self.reading_score],
+                "writing_score": [self.writing_score],
+            }
+
+            return pd.DataFrame(custom_data_input_dict)
+
+        except Exception as e:
+            raise CustomException(e, sys)
+

src/exception.py

@@ -0,0 +1,18 @@
+import sys
+from src.logger import logging
+def error_message_detail(error,error_detail:sys):
+    _,_,exc_tb = error_detail.exc_info()
+    file_name =exc_tb.tb_frame.f_code.co_filename
+    error_message = "error occured in python script name [{0}] line number [{1}] error message [{2}]".format(file_name,exc_tb.tb_lineno,str(error))
+
+    return error_message
+
+class CustomException(Exception):
+    def __init__(self,error_message,error_detail:sys) -> None:
+        super().__init__(error_message)
+        self.error_message =  error_message_detail(error_message,error_detail=error_detail)
+        logging.info(self.error_message)
+    def __str__(self) -> str:
+        return self.error_message    
+
+          

src/logger.py

@@ -0,0 +1,15 @@
+import logging
+import os
+from datetime import datetime
+
+LOG_FILE = f'{datetime.now().strftime("%m_%d_%y_%H_%M_%S")}.log'
+logs_path = os.path.join(os.getcwd(),"logs",LOG_FILE)
+os.makedirs(logs_path,exist_ok = True)
+
+LOG_FILE_PATH = os.path.join(logs_path,LOG_FILE)
+
+logging.basicConfig(
+    filename= LOG_FILE_PATH,
+    force="[ %(asctime)s] %(linemo)d %(name)s - %(levelname)s - %(message)s",
+    level= logging.INFO
+)

src/utils.py

@@ -0,0 +1,61 @@
+import os
+import sys
+
+import numpy as np 
+import pandas as pd
+import dill
+import pickle
+from sklearn.metrics import r2_score
+from sklearn.model_selection import GridSearchCV
+
+from src.exception import CustomException
+
+def eval_model(true, predicted):
+    r2_square = r2_score(true, predicted)
+    return r2_square
+
+
+def save_object(file_path , obj):
+        try:
+            dir_path = os.path.dirname(file_path)
+
+            os.makedirs(dir_path,exist_ok= True)
+
+            with open(file_path,"wb") as file_obj:
+                  pickle.dump(obj,file_obj)
+        except Exception as e:
+              raise CustomException(e,sys)
+def load_Obj(file_path):
+        try:
+            with open(file_path,"rb") as file_obj:
+                  return dill.load(file_obj)
+        except Exception as e:
+              raise CustomException(e,sys)        
+        
+        
+def evaluate_model(X,Y,X_test,Y_test,Models,Param):
+    try:
+        report = {}
+        for i in range(len(list(Models))):
+            model = list(Models.values())[i]
+            para  = Param[list(Models.keys())[i]]
+
+            gs = GridSearchCV(model,para,cv=3)
+            gs.fit(X,Y)
+
+            model.set_params(**gs.best_params_)
+            model.fit(X,Y)
+
+            # Make predictions
+            y_train_pred = model.predict(X)
+            y_test_pred = model.predict(X_test)
+            
+            # Evaluate Train and Test dataset
+            model_test_r2 = eval_model(Y_test, y_test_pred)
+            
+            report[(list(Models.keys())[i])] = model_test_r2
+        return report
+
+    except Exception as e:
+        raise CustomException(e,sys)
+