rasmodev commited on
Commit
d035eb2
Β·
verified Β·
1 Parent(s): c7a93a0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +18 -18
app.py CHANGED
@@ -12,17 +12,17 @@ unique_values = saved_components['unique_values']
12
 
13
  # Define the Streamlit app
14
  def main():
15
- st.title("Employee Attrition Prediction App")
16
- st.sidebar.title("Model Settings")
17
 
18
  # Sidebar inputs
19
- with st.sidebar.expander("View Unique Values"):
20
  st.write("Unique values for each feature:")
21
  for column, values in unique_values.items():
22
  st.write(f"- {column}: {values}")
23
 
24
  # Main content
25
- st.write("Welcome to the Employee Attrition Prediction App!")
26
  st.write("This app helps HR practitioners predict employee attrition using a trained CatBoost model.")
27
  st.write("Please provide the following information to make a prediction:")
28
 
@@ -55,7 +55,7 @@ def main():
55
  years_with_curr_manager = st.number_input("Years With Current Manager")
56
 
57
  # Predict button
58
- if st.button("Predict"):
59
 
60
  # Create a DataFrame to hold the user input data
61
  input_data = pd.DataFrame({
@@ -84,37 +84,37 @@ def main():
84
  # Make predictions
85
  prediction = model.predict(input_data)
86
  probability = model.predict_proba(input_data)[:, 1]
87
-
88
  # Display prediction probability
89
  if prediction[0] == 1:
90
- st.subheader("Prediction Probability")
91
  st.write(f"The probability of the employee leaving is: {probability[0]*100:.2f}%")
92
 
93
  # Display characteristic-based recommendations
94
- st.subheader("Recommendations for Retaining The Employee:")
95
  if job_satisfaction == 1 or environment_satisfaction == 1:
96
  st.markdown("- **Job and Environment Satisfaction**: Enhance job and environment satisfaction through initiatives such as recognition programs and improving workplace conditions.")
97
  if years_since_last_promotion > 5:
98
- st.markdown("- Implement a transparent promotion policy and provide opportunities for career advancement.")
99
  if years_with_curr_manager > 5:
100
- st.markdown("- Offer opportunities for a change in reporting structure to prevent stagnation and promote growth.")
101
  if percent_salary_hike < 5:
102
- st.markdown("- Consider adjusting salary and benefits packages to remain competitive and reward employee loyalty.")
103
  if training_times_last_year < 2:
104
- st.markdown("- Invest in employee development through training programs and continuous learning opportunities.")
105
  if over_time:
106
- st.markdown("- Evaluate workload distribution and consider implementing measures to prevent overwork, such as workload balancing and flexible scheduling.")
107
  if relationship_satisfaction == 1:
108
- st.markdown("- Foster positive relationships and a supportive work environment through team-building activities and open communication channels.")
109
  if monthly_income < 5000:
110
- st.markdown("- Review compensation structures and adjust salaries to align with industry standards and employee expectations.")
111
  if num_companies_worked > 5:
112
- st.markdown("- Identify reasons for high turnover and address issues related to job stability, career progression, and organizational culture.")
113
  if work_life_balance == 1:
114
- st.markdown("- Promote work-life balance initiatives, such as flexible work arrangements and wellness programs, to support employee well-being.")
115
 
116
  # General recommendation for all negative predictions
117
- st.markdown("- Conduct exit interviews to gather feedback and identify areas for improvement in retention strategies.")
118
 
119
  if __name__ == "__main__":
120
  main()
 
12
 
13
  # Define the Streamlit app
14
  def main():
15
+ st.title("Employee Attrition Prediction App πŸ•΅οΈβ€β™‚οΈ")
16
+ st.sidebar.title("Model Settings βš™οΈ")
17
 
18
  # Sidebar inputs
19
+ with st.sidebar.expander("View Unique Values πŸ”"):
20
  st.write("Unique values for each feature:")
21
  for column, values in unique_values.items():
22
  st.write(f"- {column}: {values}")
23
 
24
  # Main content
25
+ st.write("Welcome to the Employee Attrition Prediction App! πŸš€")
26
  st.write("This app helps HR practitioners predict employee attrition using a trained CatBoost model.")
27
  st.write("Please provide the following information to make a prediction:")
28
 
 
55
  years_with_curr_manager = st.number_input("Years With Current Manager")
56
 
57
  # Predict button
58
+ if st.button("Predict πŸ“Š"):
59
 
60
  # Create a DataFrame to hold the user input data
61
  input_data = pd.DataFrame({
 
84
  # Make predictions
85
  prediction = model.predict(input_data)
86
  probability = model.predict_proba(input_data)[:, 1]
87
+
88
  # Display prediction probability
89
  if prediction[0] == 1:
90
+ st.subheader("Prediction Probability πŸ“ˆ")
91
  st.write(f"The probability of the employee leaving is: {probability[0]*100:.2f}%")
92
 
93
  # Display characteristic-based recommendations
94
+ st.subheader("Recommendations for Retaining The Employee πŸ’‘:")
95
  if job_satisfaction == 1 or environment_satisfaction == 1:
96
  st.markdown("- **Job and Environment Satisfaction**: Enhance job and environment satisfaction through initiatives such as recognition programs and improving workplace conditions.")
97
  if years_since_last_promotion > 5:
98
+ st.markdown("- **Opportunities for Advancement**: Implement a transparent promotion policy and provide opportunities for career advancement.")
99
  if years_with_curr_manager > 5:
100
+ st.markdown("- **Change in Reporting Structure**: Offer opportunities for a change in reporting structure to prevent stagnation and promote growth.")
101
  if percent_salary_hike < 5:
102
+ st.markdown("- **Salary and Benefits Adjustment**: Consider adjusting salary and benefits packages to remain competitive and reward employee loyalty.")
103
  if training_times_last_year < 2:
104
+ st.markdown("- **Employee Development**: Invest in employee development through training programs and continuous learning opportunities.")
105
  if over_time:
106
+ st.markdown("- **Workload Evaluation**: Evaluate workload distribution and consider implementing measures to prevent overwork, such as workload balancing and flexible scheduling.")
107
  if relationship_satisfaction == 1:
108
+ st.markdown("- **Positive Work Environment**: Foster positive relationships and a supportive work environment through team-building activities and open communication channels.")
109
  if monthly_income < 5000:
110
+ st.markdown("- **Compensation Review**: Review compensation structures and adjust salaries to align with industry standards and employee expectations.")
111
  if num_companies_worked > 5:
112
+ st.markdown("- **Address High Turnover**: Identify reasons for high turnover and address issues related to job stability, career progression, and organizational culture.")
113
  if work_life_balance == 1:
114
+ st.markdown("- **Work-Life Balance Initiatives**: Promote work-life balance initiatives, such as flexible work arrangements and wellness programs, to support employee well-being.")
115
 
116
  # General recommendation for all negative predictions
117
+ st.markdown("- **Exit Interviews**: Conduct exit interviews to gather feedback and identify areas for improvement in retention strategies.")
118
 
119
  if __name__ == "__main__":
120
  main()