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Runtime error
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jaleesahmed
commited on
Commit
•
1753801
1
Parent(s):
49a8b9f
model
Browse files- app.py +56 -0
- emp_experience_data.csv +299 -0
- requirements.txt +2 -0
app.py
ADDED
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import gradio as gr
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import pandas as pd
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from sklearn.preprocessing import LabelEncoder
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from sklearn.feature_selection import mutual_info_classif
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from sklearn.feature_selection import chi2
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def data_description(action_type):
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df = pd.read_csv('emp_experience_data.csv')
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pd.options.display.max_columns = 25
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pd.options.display.max_rows = 10
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data_encoded = df.copy(deep=True)
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categorical_column = ['Attrition', 'Gender', 'BusinessTravel', 'Education', 'EmployeeExperience', 'EmployeeFeedbackSentiments', 'Designation',
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'SalarySatisfaction', 'HealthBenefitsSatisfaction', 'UHGDiscountProgramUsage', 'HealthConscious', 'CareerPathSatisfaction', 'Region']
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label_encoding = LabelEncoder()
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for col in categorical_column:
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data_encoded[col] = label_encoding.fit_transform(data_encoded[col])
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if action_type == "Input Data":
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input_data = data_encoded.drop(['Attrition'], axis=1)
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return input_data.head()
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if action_type == "input_data":
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target_data = data_encoded[['Attrition']]
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return target_data.head()
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if action_type == "Feature Selection By Mutual Information":
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input_data = data_encoded.drop(['Attrition'], axis=1)
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col_values = list(input_data.columns.values)
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feature_scores = mutual_info_classif(input_data, target_data)
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data = [["Feature", "Mutual Information (0: independent, 1: dependent)"]]
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for score, fname in sorted(zip(feature_scores, col_values), reverse=True)[:10]:
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data.append([fname, score])
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return data
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if action_type == "Feature Selection By Chi Square":
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input_data = data_encoded.drop(['Attrition'], axis=1)
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col_values = list(input_data.columns.values)
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feature_scores = chi2(input_data, target_data)[0]
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data = [["Feature", "Mutual Information (0: independent, 1: dependent)"]]
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for score, fname in sorted(zip(feature_scores, col_values), reverse=True)[:10]:
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data.append([fname, score])
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return data
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inputs = [
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gr.Dropdown(["Input Data", "c", "Feature Selection By Mutual Information", "Feature Selection By Chi Square"], label="Develop Data Models")
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]
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outputs = [gr.DataFrame()]
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demo = gr.Interface(
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fn = data_description,
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inputs = inputs,
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outputs = outputs,
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title="Employee-Experience: Model Development",
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allow_flagging=False
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)
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if __name__ == "__main__":
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demo.launch()
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emp_experience_data.csv
ADDED
@@ -0,0 +1,299 @@
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1 |
+
Attrition,Age,Gender,BusinessTravel,Education,EmployeeExperience,EmployeeFeedbackSentiments,Designation,SalaryGrade,SalarySatisfaction,PerformanceRating,YearsSinceLastPromotion,InternalJobMovement,ManagerChangeFrequencyInThreeYears,NumOfCompaniesWorked,DistanceFromHome,HealthBenefitsSatisfaction,UHGDiscountProgramUsage,HealthConscious,HoursOfTrainingAttendedLastYear,CareerPathSatisfaction,Region
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2 |
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Yes,41,Female,Travel_Rarely,College,Neutral,Negative,Admin,27,Positive,4,3,3,1,4,1,Negative,Yes,Yes,10,Negative,India
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3 |
+
No,49,Male,Travel_Frequently,College,Positive,Positive,Engineer,28,Positive,3,2,1,1,1,8,Positive,No,No,8,Positive,India
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4 |
+
Yes,37,Male,Travel_Rarely,Highschool,Negative,Negative,Admin,27,Negative,4,3,0,2,2,2,Negative,No,No,20,Negative,US
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5 |
+
No,33,Female,Travel_Frequently,College,Neutral,Positive,Engineer,30,Positive,4,0,0,3,1,3,Neutral,No,Yes,10,Positive,India
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6 |
+
No,27,Male,Travel_Rarely,Masters,Positive,Negative,EngineerTLCP,27,Positive,2,2,1,4,2,2,Positive,Yes,No,20,Neutral,US
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7 |
+
No,32,Male,Travel_Frequently,College,Positive,Positive,Admin,28,Positive,4,4,0,2,1,2,Positive,No,No,7,Negative,India
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8 |
+
No,59,Female,Travel_Rarely,Masters,Neutral,Positive,Manager,27,Negative,5,1,0,3,1,3,Negative,No,Yes,20,Negative,US
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9 |
+
No,30,Male,Travel_Rarely,Masters,Neutral,Positive,Director,30,Positive,5,3,0,1,2,24,Positive,Yes,Yes,20,Positive,India
|
10 |
+
No,38,Male,Travel_Frequently,Doctorate,Positive,Positive,Director,28,Negative,3,3,1,3,1,23,Positive,Yes,No,8,Negative,India
|
11 |
+
No,36,Male,Travel_Rarely,Highschool,Positive,Positive,Admin,27,Positive,3,2,2,2,1,27,Neutral,No,No,6,Positive,India
|
12 |
+
No,35,Male,Travel_Rarely,College,Negative,Negative,Engineer,27,Negative,4,4,0,1,1,16,Negative,No,Yes,10,Positive,US
|
13 |
+
No,29,Female,Travel_Rarely,Masters,Neutral,Negative,EngineerTLCP,27,Positive,5,3,1,1,2,15,Negative,Yes,No,25,Positive,India
|
14 |
+
No,31,Male,Travel_Rarely,Doctorate,Neutral,Positive,EngineerTLCP,28,Positive,3,2,3,4,1,26,Positive,Yes,No,30,Positive,US
|
15 |
+
No,34,Male,Travel_Rarely,Highschool,Neutral,Positive,Analyst,28,Neutral,3,1,2,3,1,19,Positive,No,Yes,10,Negative,India
|
16 |
+
Yes,28,Male,Travel_Rarely,College,Negative,Positive,Engineer,29,Positive,5,4,2,1,3,24,Negative,No,Yes,0,Negative,India
|
17 |
+
No,29,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,3,4,1,2,3,21,Negative,Yes,No,0,Neutral,US
|
18 |
+
No,32,Male,Travel_Rarely,Masters,Neutral,Negative,Director,27,Neutral,3,1,0,2,1,5,Positive,No,Yes,6,Negative,India
|
19 |
+
No,22,Male,Non-Travel,Doctorate,Positive,Positive,EngineerTLCP,27,Positive,4,2,3,3,1,16,Positive,Yes,No,5,Neutral,India
|
20 |
+
No,53,Female,Travel_Rarely,College,Positive,Negative,Admin,27,Positive,3,4,0,4,2,2,Positive,No,Yes,9,Positive,US
|
21 |
+
No,38,Male,Travel_Rarely,Highschool,Positive,Positive,Admin,27,Positive,3,1,1,2,1,2,Positive,No,Yes,4,Negative,India
|
22 |
+
No,24,Female,Non-Travel,College,Negative,Negative,Analyst,27,Negative,3,1,1,3,2,11,Negative,Yes,No,0,Negative,India
|
23 |
+
Yes,36,Male,Travel_Rarely,Masters,Negative,Negative,Director,28,Negative,3,2,2,1,3,9,Positive,No,No,0,Positive,India
|
24 |
+
No,34,Female,Travel_Rarely,Doctorate,Positive,Positive,Director,30,Neutral,4,2,2,4,2,7,Positive,No,Yes,3,Positive,India
|
25 |
+
No,21,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Neutral,4,4,2,2,1,15,Negative,Yes,Yes,0,Positive,US
|
26 |
+
Yes,34,Male,Travel_Rarely,College,Negative,Positive,Admin,27,Positive,3,5,2,2,1,6,Negative,No,No,10,Positive,US
|
27 |
+
No,53,Female,Travel_Rarely,Highschool,Positive,Positive,Admin,27,Positive,4,4,3,1,2,5,Positive,No,No,12,Neutral,India
|
28 |
+
Yes,32,Female,Travel_Frequently,College,Positive,Negative,Director,30,Negative,3,4,0,3,1,16,Positive,Yes,Yes,0,Negative,India
|
29 |
+
No,42,Male,Travel_Rarely,Masters,Positive,Negative,Manager,27,Positive,3,2,0,3,2,8,Neutral,No,Yes,10,Positive,US
|
30 |
+
No,44,Female,Travel_Rarely,Doctorate,Neutral,Negative,EngineerTLCP,28,Negative,4,2,1,1,2,7,Negative,No,No,12,Negative,India
|
31 |
+
No,46,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,2,2,2,1,3,2,Positive,Yes,No,17,Negative,India
|
32 |
+
No,33,Male,Travel_Rarely,College,Positive,Negative,Analyst,27,Positive,2,3,2,2,1,2,Neutral,Yes,Yes,15,Positive,India
|
33 |
+
No,44,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,5,4,1,3,4,10,Positive,No,No,0,Positive,US
|
34 |
+
No,30,Male,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,3,6,0,2,3,9,Positive,No,No,0,Positive,India
|
35 |
+
Yes,39,Male,Travel_Rarely,College,Positive,Negative,Manager,27,Negative,3,3,2,2,3,5,Negative,No,No,15,Negative,India
|
36 |
+
Yes,24,Male,Travel_Rarely,Doctorate,Negative,Neutral,EngineerTLCP,29,Negative,4,7,0,3,4,1,Negative,Yes,Yes,10,Negative,US
|
37 |
+
No,43,Female,Travel_Rarely,College,Negative,Negative,Engineer,27,Negative,3,2,1,1,3,2,Positive,Yes,No,7,Negative,India
|
38 |
+
Yes,50,Male,Travel_Rarely,Masters,Negative,Negative,Manager,30,Negative,4,7,0,2,2,3,Negative,No,No,19,Neutral,US
|
39 |
+
No,35,Female,Travel_Rarely,Doctorate,Neutral,Neutral,Manager,28,Neutral,3,2,1,1,3,2,Negative,No,Yes,0,Positive,India
|
40 |
+
No,36,Female,Travel_Rarely,Highschool,Neutral,Positive,Analyst,27,Positive,5,3,0,2,2,5,Positive,Yes,Yes,20,Neutral,US
|
41 |
+
No,33,Female,Travel_Frequently,College,Positive,Positive,Engineer,27,Positive,3,2,1,1,1,1,Positive,No,No,10,Neutral,India
|
42 |
+
No,35,Male,Travel_Rarely,College,Neutral,Neutral,Engineer,27,Neutral,3,4,3,2,1,4,Positive,Yes,No,15,Positive,India
|
43 |
+
No,27,Female,Travel_Rarely,College,Negative,Positive,Engineer,28,Negative,3,3,1,3,2,2,Positive,Yes,No,0,Negative,India
|
44 |
+
Yes,26,Male,Travel_Rarely,Masters,Positive,Negative,Manager,28,Positive,2,4,1,1,2,25,Negative,Yes,Yes,27,Negative,US
|
45 |
+
No,27,Male,Travel_Frequently,Doctorate,Neutral,Negative,Manager,28,Positive,4,2,1,1,1,8,Negative,Yes,No,10,Positive,India
|
46 |
+
No,30,Female,Travel_Frequently,College,Neutral,Positive,Director,28,Neutral,3,2,2,2,1,1,Positive,Yes,Yes,18,Positive,US
|
47 |
+
Yes,41,Female,Travel_Rarely,College,Negative,Neutral,Director,28,Negative,3,2,0,3,1,12,Negative,No,No,10,Negative,US
|
48 |
+
No,34,Male,Non-Travel,College,Neutral,Positive,Manager,27,Neutral,4,2,1,2,4,23,Neutral,No,Yes,12,Positive,India
|
49 |
+
No,37,Male,Travel_Rarely,College,Positive,Neutral,Engineer,28,Positive,4,3,0,2,4,19,Positive,No,No,6,Neutral,US
|
50 |
+
No,46,Male,Travel_Frequently,College,Negative,Neutral,Manager,27,Negative,3,5,0,3,1,5,Negative,No,Yes,10,Negative,India
|
51 |
+
No,35,Male,Travel_Rarely,Masters,Positive,Negative,Manager,27,Positive,3,3,0,1,4,8,Positive,No,No,10,Positive,India
|
52 |
+
Yes,48,Male,Travel_Rarely,Masters,Negative,Positive,Manager,27,Negative,4,3,3,2,2,1,Negative,Yes,Yes,19,Negative,US
|
53 |
+
Yes,28,Male,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,3,2,1,1,3,5,Negative,Yes,No,18,Negative,US
|
54 |
+
No,44,Female,Travel_Rarely,College,Positive,Neutral,Engineer,28,Positive,3,3,1,1,2,1,Positive,No,Yes,18,Positive,India
|
55 |
+
No,35,Male,Non-Travel,College,Neutral,Positive,Manager,29,Positive,4,3,2,1,2,11,Positive,No,Yes,10,Positive,India
|
56 |
+
No,26,Female,Travel_Rarely,Masters,Negative,Negative,EngineerTLCP,29,Neutral,3,3,2,2,2,23,Negative,No,No,22,Positive,US
|
57 |
+
No,33,Female,Travel_Frequently,Doctorate,Neutral,Positive,Manager,29,Positive,3,4,0,3,5,1,Neutral,Yes,No,20,Positive,US
|
58 |
+
No,35,Male,Travel_Frequently,Masters,Neutral,Negative,Analyst,30,Positive,3,5,1,1,2,18,Positive,No,Yes,10,Negative,US
|
59 |
+
No,35,Female,Travel_Rarely,Doctorate,Positive,Positive,Manager,28,Positive,3,4,0,1,5,23,Negative,No,No,25,Positive,US
|
60 |
+
No,31,Male,Travel_Rarely,College,Neutral,Positive,Manager,28,Positive,2,5,2,2,3,7,Neutral,Yes,Yes,24,Neutral,US
|
61 |
+
No,37,Male,Travel_Rarely,College,Negative,Negative,Manager,28,Negative,4,3,0,3,6,1,Neutral,Yes,Yes,10,Positive,India
|
62 |
+
No,32,Male,Travel_Rarely,College,Positive,Positive,Manager,28,Neutral,4,3,1,3,2,1,Neutral,No,No,28,Neutral,India
|
63 |
+
No,38,Female,Travel_Frequently,College,Positive,Negative,Analyst,29,Positive,3,2,1,2,5,29,Positive,No,No,10,Positive,US
|
64 |
+
No,50,Female,Travel_Rarely,Highschool,Neutral,Positive,Admin,27,Positive,3,2,0,2,1,7,Neutral,No,Yes,12,Negative,US
|
65 |
+
No,59,Female,Travel_Rarely,Masters,Neutral,Positive,Engineer,28,Positive,3,2,2,1,4,25,Positive,Yes,No,10,Positive,India
|
66 |
+
No,36,Female,Travel_Rarely,Doctorate,Negative,Negative,Manager,29,Positive,3,2,0,2,4,8,Negative,No,Yes,11,Positive,India
|
67 |
+
No,55,Female,Travel_Rarely,College,Neutral,Positive,Analyst,27,Positive,2,4,2,1,1,8,Positive,Yes,Yes,15,Positive,India
|
68 |
+
No,36,Male,Travel_Frequently,College,Positive,Positive,Engineer,27,Negative,4,4,1,1,2,11,Positive,No,No,20,Neutral,India
|
69 |
+
No,45,Male,Travel_Rarely,College,Negative,Negative,Engineer,27,Negative,2,2,1,1,4,7,Neutral,Yes,Yes,18,Negative,US
|
70 |
+
No,35,Male,Travel_Frequently,College,Negative,Negative,Analyst,27,Negative,3,2,2,2,3,1,Negative,No,Yes,17,Negative,US
|
71 |
+
Yes,36,Male,Travel_Rarely,Highschool,Negative,Positive,Analyst,27,Negative,4,2,0,2,4,9,Neutral,Yes,No,16,Positive,India
|
72 |
+
No,59,Female,Travel_Frequently,Highschool,Neutral,Negative,Admin,28,Negative,4,2,0,1,1,1,Negative,No,No,20,Negative,India
|
73 |
+
No,29,Male,Travel_Rarely,Masters,Neutral,Neutral,Engineer,27,Neutral,5,3,1,2,3,2,Positive,Yes,Yes,25,Negative,India
|
74 |
+
No,31,Male,Travel_Rarely,Masters,Negative,Negative,Engineer,27,Positive,2,2,1,2,4,1,Neutral,No,No,14,Negative,India
|
75 |
+
No,32,Male,Travel_Rarely,College,Negative,Negative,Analyst,27,Negative,4,3,1,2,1,1,Negative,Yes,Yes,12,Positive,US
|
76 |
+
No,36,Female,Travel_Rarely,College,Negative,Neutral,Manager,28,Neutral,4,3,0,4,3,6,Negative,No,No,11,Negative,India
|
77 |
+
No,31,Female,Travel_Rarely,Highschool,Positive,Negative,Analyst,27,Positive,4,2,1,2,3,8,Positive,Yes,No,12,Negative,India
|
78 |
+
No,35,Male,Travel_Rarely,Doctorate,Neutral,Positive,Manager,29,Positive,3,1,1,3,4,1,Positive,No,Yes,30,Positive,US
|
79 |
+
No,45,Male,Travel_Rarely,College,Neutral,Positive,Analyst,27,Positive,4,2,0,1,4,6,Positive,No,No,16,Neutral,India
|
80 |
+
No,37,Male,Travel_Rarely,Masters,Neutral,Positive,Analyst,27,Neutral,3,2,0,2,1,7,Negative,Yes,Yes,40,Negative,India
|
81 |
+
No,46,Male,Travel_Rarely,Masters,Neutral,Neutral,EngineerTLCP,29,Negative,2,1,1,1,4,5,Negative,Yes,Yes,20,Neutral,US
|
82 |
+
No,30,Male,Travel_Rarely,Highschool,Neutral,Negative,Admin,29,Neutral,4,3,2,2,2,1,Negative,Yes,No,15,Negative,India
|
83 |
+
No,35,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Neutral,2,2,1,1,2,1,Negative,Yes,Yes,16,Negative,India
|
84 |
+
No,55,Male,Travel_Rarely,Highschool,Neutral,Positive,Analyst,30,Positive,3,6,0,1,2,1,Neutral,Yes,No,12,Positive,India
|
85 |
+
No,38,Female,Non-Travel,College,Neutral,Negative,Analyst,28,Positive,3,3,3,2,2,6,Neutral,Yes,Yes,13,Positive,US
|
86 |
+
No,34,Male,Travel_Rarely,College,Positive,Positive,Engineer,29,Positive,3,4,2,1,1,1,Positive,No,Yes,6,Positive,US
|
87 |
+
No,56,Male,Travel_Rarely,College,Neutral,Neutral,Analyst,27,Positive,5,3,1,2,2,7,Neutral,Yes,No,19,Neutral,India
|
88 |
+
No,23,Male,Travel_Rarely,Masters,Positive,Positive,Analyst,28,Negative,4,4,1,2,1,2,Positive,Yes,Yes,10,Negative,US
|
89 |
+
No,51,Male,Travel_Rarely,Masters,Positive,Negative,EngineerTLCP,28,Positive,3,2,0,3,2,9,Positive,Yes,No,15,Positive,India
|
90 |
+
No,30,Male,Travel_Rarely,Masters,Neutral,Positive,Engineer,28,Positive,3,2,2,1,2,2,Neutral,No,No,12,Positive,India
|
91 |
+
Yes,46,Male,Travel_Rarely,Masters,Negative,Negative,EngineerTLCP,29,Positive,5,5,0,2,3,9,Negative,Yes,No,0,Negative,US
|
92 |
+
No,40,Male,Travel_Frequently,Highschool,Neutral,Positive,Admin,27,Positive,4,4,0,3,2,1,Positive,Yes,Yes,8,Positive,US
|
93 |
+
No,51,Male,Travel_Rarely,College,Neutral,Positive,Analyst,29,Neutral,2,2,2,1,5,21,Positive,No,No,16,Positive,US
|
94 |
+
No,30,Female,Travel_Rarely,College,Neutral,Negative,Engineer,30,Positive,3,3,0,1,2,4,Neutral,Yes,No,10,Positive,India
|
95 |
+
No,46,Male,Travel_Frequently,Masters,Positive,Positive,Engineer,27,Positive,5,2,0,3,4,1,Neutral,Yes,Yes,11,Positive,India
|
96 |
+
No,32,Male,Travel_Rarely,College,Neutral,Positive,Engineer,27,Neutral,5,2,0,3,2,6,Positive,Yes,Yes,12,Negative,India
|
97 |
+
No,54,Female,Travel_Rarely,Masters,Neutral,Positive,Manager,28,Neutral,2,2,1,1,4,2,Positive,No,No,10,Positive,India
|
98 |
+
No,24,Female,Travel_Rarely,Doctorate,Positive,Positive,Director,30,Positive,3,2,1,4,1,3,Neutral,No,No,18,Neutral,India
|
99 |
+
No,28,Male,Non-Travel,College,Neutral,Positive,Analyst,27,Positive,4,3,1,3,3,4,Neutral,Yes,No,10,Positive,India
|
100 |
+
No,58,Male,Travel_Rarely,College,Positive,Positive,Manager,29,Neutral,4,1,0,1,2,10,Negative,Yes,Yes,8,Positive,US
|
101 |
+
No,44,Male,Non-Travel,College,Neutral,Negative,Engineer/TLCP,28,Positive,3,2,1,2,1,23,Neutral,No,Yes,0,Positive,US
|
102 |
+
Yes,37,Male,Travel_Rarely,Masters,Negative,Negative,Engineer/TLCP,26,Neutral,5,3,0,2,1,6,Negative,No,Yes,10,Positive,India
|
103 |
+
No,32,Male,Travel_Rarely,College,Neutral,Positive,Analyst,27,Positive,3,5,2,3,1,1,Neutral,Yes,No,0,Neutral,India
|
104 |
+
Yes,20,Female,Travel_Frequently,High School,Positive,Positive,Admin,25,Positive,3,0,0,1,1,6,Positive,No,Yes,0,Negative,Ireland
|
105 |
+
No,34,Female,Travel_Rarely,Masters,Neutral,Negative,Engineer,28,Positive,4,1,2,2,3,6,Positive,Yes,No,20,Positive,US
|
106 |
+
No,37,Male,Non-Travel,College,Positive,Positive,Analyst,28,Positive,4,1,0,2,2,2,Positive,No,No,6,Positive,Ireland
|
107 |
+
No,59,Female,Non-Travel,Doctorate,Positive,Positive,Director,31,Positive,5,2,6,7,4,2,Positive,Yes,Yes,30,Negative,US
|
108 |
+
No,50,Female,Travel_Frequently,Masters,Neutral,Positive,Manager,29,Positive,4,2,1,3,2,1,Neutral,Yes,Yes,26,Positive,India
|
109 |
+
Yes,25,Male,Travel_Rarely,College,Negative,Negative,Engineer,27,Positive,3,0,0,2,1,5,Negative,No,Yes,8,Positive,US
|
110 |
+
No,25,Male,Travel_Rarely,College,Neutral,Neutral,Engineer,27,Positive,3,1,1,2,1,7,Neutral,Yes,Yes,10,Positive,Ireland
|
111 |
+
No,22,Female,Travel_Rarely,College,Neutral,Negative,Engineer,27,Positive,3,1,0,1,2,15,Neutral,Yes,Yes,16,Positive,Ireland
|
112 |
+
No,51,Female,Travel_Frequently,College,Neutral,Neutral,Engineer/TLCP,28,Negative,3,2,1,2,1,1,Positive,No,Yes,14,Negative,Ireland
|
113 |
+
Yes,34,Male,Travel_Frequently,Masters,Negative,Negative,Engineer/TLCP,29,Positive,3,2,0,2,1,7,Positive,No,Yes,24,Positive,Ireland
|
114 |
+
No,54,Female,Non-Travel,College,Neutral,Positive,Engineer,28,Positive,2,2,2,3,1,26,Positive,Yes,Yes,40,Neutral,Ireland
|
115 |
+
No,24,Male,Travel_Rarely,College,Positive,Positive,Engineer,26,Neutral,2,0,0,1,1,18,Neutral,Yes,No,22,Positive,Ireland
|
116 |
+
No,34,Female,Travel_Rarely,Masters,Positive,Positive,Engineer/TLCP,29,Positive,4,2,2,2,3,6,Neutral,Yes,No,15,Neutral,US
|
117 |
+
No,37,Male,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,4,4,0,2,2,3,Negative,Yes,No,10,Neutral,India
|
118 |
+
No,34,Female,Travel_Rarely,College,Positive,Negative,Engineer,28,Neutral,4,2,2,3,1,5,Positive,No,No,12,Positive,US
|
119 |
+
No,36,Female,Travel_Frequently,College,Neutral,Positive,Engineer,28,Positive,4,3,0,1,1,11,Positive,No,No,4,Positive,India
|
120 |
+
No,36,Female,Travel_Rarely,Masters,Neutral,Positive,Manager,29,Positive,3,4,2,2,3,3,Negative,No,No,10,Positive,US
|
121 |
+
No,43,Male,Travel_Frequently,College,Neutral,Positive,Engineer,28,Positive,3,5,0,2,2,26,Neutral,Yes,No,8,Positive,US
|
122 |
+
No,30,Male,Travel_Frequently,Doctorate,Neutral,Neutral,Director,30,Neutral,3,1,6,7,4,23,Positive,Yes,Yes,32,Neutral,India
|
123 |
+
No,33,Male,Non-Travel,College,Neutral,Positive,Engineer,29,Positive,3,5,1,3,2,22,Positive,Yes,Yes,10,Negative,US
|
124 |
+
Yes,56,Female,Travel_Rarely,Masters,Positive,Positive,Manager,28,Neutral,4,4,0,2,1,14,Negative,Yes,Yes,8,Positive,India
|
125 |
+
No,51,Male,Travel_Rarely,College,Positive,Negative,Engineer,29,Neutral,4,4,2,3,1,6,Neutral,Yes,Yes,8,Positive,US
|
126 |
+
Yes,31,Male,Travel_Rarely,College,Negative,Negative,Engineer,28,Positive,5,1,0,1,1,6,Negative,Yes,Yes,8,Negative,India
|
127 |
+
No,26,Female,Travel_Rarely,College,Positive,Positive,Engineer,27,Neutral,4,2,2,2,3,6,Positive,No,No,24,Positive,US
|
128 |
+
Yes,58,Female,Travel_Rarely,College,Negative,Positive,Engineer,28,Negative,3,2,0,2,2,23,Negative,No,Yes,16,Positive,US
|
129 |
+
Yes,19,Male,Travel_Rarely,High School,Negative,Positive,Admin,26,Positive,3,0,2,3,1,22,Positive,No,No,0,Positive,India
|
130 |
+
No,22,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Neutral,2,1,0,1,1,2,Neutral,No,Yes,8,Positive,US
|
131 |
+
No,49,Female,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,3,3,2,2,3,20,Positive,No,No,24,Positive,India
|
132 |
+
No,43,Female,Travel_Frequently,College,Neutral,Positive,Engineer,28,Positive,3,4,0,2,1,28,Negative,No,Yes,16,Positive,US
|
133 |
+
No,50,Female,Travel_Frequently,College,Positive,Positive,Engineer/TLCP,29,Positive,3,4,2,3,1,12,Positive,No,No,32,Positive,India
|
134 |
+
Yes,31,Female,Travel_Rarely,College,Negative,Negative,Engineer,28,Negative,2,1,0,1,1,20,Negative,No,No,10,Neutral,US
|
135 |
+
No,41,Male,Travel_Rarely,Masters,Neutral,Positive,Engineer,29,Positive,3,2,2,2,3,9,Neutral,No,No,16,Negative,India
|
136 |
+
No,26,Female,Travel_Rarely,College,Neutral,Positive,Analyst,28,Negative,4,1,0,2,2,25,Neutral,Yes,Yes,24,Positive,US
|
137 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,Analyst,28,Negative,4,2,2,3,1,6,Positive,Yes,Yes,8,Positive,India
|
138 |
+
Yes,51,Male,Travel_Frequently,College,Negative,Positive,Engineer/TLCP,29,Negative,4,3,0,1,1,8,Negative,Yes,No,24,Negative,US
|
139 |
+
No,39,Female,Travel_Rarely,College,Positive,Neutral,Engineer/TLCP,29,Positive,3,3,2,3,1,4,Positive,Yes,Yes,16,Positive,India
|
140 |
+
No,25,Male,Travel_Rarely,College,Positive,Positive,Engineer/TLCP,28,Neutral,3,3,0,1,1,28,Positive,Yes,Yes,32,Positive,US
|
141 |
+
No,30,Male,Travel_Rarely,College,Positive,Positive,Engineer,29,Positive,3,2,2,2,3,9,Positive,Yes,Yes,8,Positive,India
|
142 |
+
Yes,32,Female,Travel_Rarely,College,Neutral,Negative,Analyst,28,Negative,3,2,0,2,1,9,Neutral,No,Yes,4,Positive,US
|
143 |
+
No,45,Male,Travel_Rarely,Doctorate,Neutral,Positive,Director,31,Neutral,4,6,2,3,1,29,Positive,No,Yes,16,Positive,Ireland
|
144 |
+
No,38,Female,Travel_Rarely,College,Neutral,Positive,Engineer,28,Positive,4,1,0,1,1,3,Neutral,No,No,20,Neutral,India
|
145 |
+
No,30,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,2,3,2,3,1,18,Positive,No,No,24,Negative,US
|
146 |
+
No,32,Male,Travel_Frequently,College,Positive,Neutral,Engineer/TLCP,29,Positive,3,1,0,1,1,9,Neutral,No,No,8,Positive,India
|
147 |
+
No,30,Female,Travel_Rarely,College,Neutral,Neutral,Engineer/TLCP,28,Neutral,3,1,2,3,1,5,Negative,No,No,8,Positive,US
|
148 |
+
No,30,Male,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,3,2,0,1,1,2,Positive,No,No,4,Negative,India
|
149 |
+
No,41,Male,Travel_Frequently,College,Positive,Positive,Engineer,27,Neutral,3,2,2,2,3,10,Positive,No,Yes,16,Positive,US
|
150 |
+
No,41,Male,Travel_Rarely,College,Neutral,Positive,Engineer,29,Neutral,3,2,0,2,1,9,Neutral,No,Yes,24,Positive,India
|
151 |
+
No,19,Female,Travel_Rarely,High School,Positive,Positive,Admin,27,Positive,4,0,0,1,1,3,Positive,No,Yes,8,Positive,US
|
152 |
+
No,40,Female,Travel_Frequently,College,Positive,Positive,Manager,29,Negative,4,2,2,3,1,26,Positive,No,No,32,Positive,India
|
153 |
+
No,35,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,4,2,0,1,1,1,Positive,Yes,No,40,Negative,US
|
154 |
+
No,53,Male,Travel_Rarely,Masters,Neutral,Positive,Manager,29,Positive,4,2,2,2,3,6,Neutral,Yes,No,22,Positive,India
|
155 |
+
No,45,Male,Travel_Rarely,College,Positive,Neutral,Engineer,27,Positive,3,2,0,2,1,9,Negative,Yes,Yes,15,Positive,US
|
156 |
+
No,32,Female,Travel_Frequently,College,Positive,Positive,Engineer,28,Positive,3,1,2,2,3,8,Positive,Yes,Yes,10,Positive,India
|
157 |
+
No,29,Male,Non-Travel,College,Positive,Positive,Engineer/TLCP,29,Neutral,3,1,0,2,1,1,Negative,Yes,Yes,12,Positive,US
|
158 |
+
No,51,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Negative,3,1,0,1,1,7,Neutral,Yes,Yes,4,Neutral,India
|
159 |
+
No,58,Female,Travel_Rarely,College,Neutral,Positive,Engineer,29,Positive,2,3,2,3,1,9,Neutral,Yes,Yes,10,Negative,US
|
160 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,Analyst,28,Positive,2,5,0,1,1,4,Neutral,Yes,Yes,8,Positive,India
|
161 |
+
No,34,Female,Travel_Frequently,College,Positive,Negative,Engineer,28,Positive,3,2,2,2,3,2,Positive,Yes,No,32,Positive,US
|
162 |
+
No,22,Male,Travel_Rarely,College,Positive,Negative,Engineer,27,Neutral,3,1,2,3,1,19,Neutral,No,No,10,Negative,India
|
163 |
+
No,27,Male,Non-Travel,College,Neutral,Positive,Engineer,27,Positive,3,2,0,1,1,9,Positive,No,No,8,Positive,US
|
164 |
+
No,28,Male,Travel_Rarely,College,Positive,Positive,Engineer/TLCP,28,Positive,3,2,2,3,1,21,Neutral,No,No,8,Positive,India
|
165 |
+
No,57,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Neutral,3,7,0,1,1,24,Positive,No,No,8,Positive,US
|
166 |
+
No,27,Male,Non-Travel,College,Positive,Positive,Engineer,28,Negative,2,1,2,3,1,3,Positive,No,Yes,10,Positive,India
|
167 |
+
No,50,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,2,9,0,1,1,11,Neutral,No,Yes,8,Negative,US
|
168 |
+
No,41,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,2,2,2,2,3,14,Positive,No,Yes,32,Positive,India
|
169 |
+
No,30,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Neutral,3,1,0,2,1,5,Neutral,Yes,Yes,10,Neutral,US
|
170 |
+
No,38,Female,Travel_Rarely,College,Positive,Neutral,Engineer,29,Positive,3,1,0,1,1,1,Neutral,Yes,No,8,Positive,India
|
171 |
+
No,32,Male,Travel_Rarely,College,Positive,Negative,Engineer/TLCP,28,Neutral,2,2,2,2,3,6,Positive,Yes,No,8,Positive,US
|
172 |
+
No,27,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,2,1,0,2,1,17,Neutral,Yes,No,8,Positive,India
|
173 |
+
Yes,19,Female,Travel_Frequently,High School,Positive,Negative,Admin,25,Negative,3,5,0,1,1,1,Positive,No,No,8,Neutral,US
|
174 |
+
No,36,Male,Travel_Frequently,College,Positive,Negative,Engineer,28,Positive,3,4,2,3,1,3,Positive,Yes,No,8,Negative,India
|
175 |
+
No,30,Male,Non-Travel,College,Positive,Positive,Engineer,28,Positive,3,2,0,1,1,9,Neutral,No,No,8,Positive,US
|
176 |
+
No,45,Female,Travel_Rarely,College,Positive,Positive,Manager,28,Neutral,3,3,2,2,3,4,Positive,Yes,Yes,10,Positive,India
|
177 |
+
No,56,Female,Travel_Rarely,College,Neutral,Positive,Engineer,29,Positive,4,3,2,3,1,8,Neutral,No,Yes,8,Negative,US
|
178 |
+
No,33,Male,Travel_Rarely,College,Positive,Negative,Engineer,29,Positive,4,2,0,1,1,2,Positive,No,Yes,32,Positive,India
|
179 |
+
Yes,19,Male,Travel_Rarely,High School,Negative,Negative,Admin,27,Positive,3,1,2,3,1,2,Neutral,Yes,Yes,10,Negative,US
|
180 |
+
No,46,Female,Travel_Rarely,College,Positive,Neutral,Engineer/TLCP,28,Positive,3,2,0,1,1,1,Neutral,Yes,Yes,8,Positive,India
|
181 |
+
No,38,Female,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,4,3,2,3,1,9,Positive,Yes,No,8,Positive,US
|
182 |
+
No,31,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Negative,3,2,0,1,1,12,Positive,No,No,8,Negative,India
|
183 |
+
No,34,Female,Travel_Rarely,College,Neutral,Positive,Engineer,28,Positive,3,2,2,2,3,27,Positive,No,No,8,Positive,US
|
184 |
+
Yes,41,Female,Travel_Rarely,Masters,Neutral,Positive,Engineer/TLCP,30,Negative,5,3,0,2,1,20,Positive,No,No,8,Neutral,India
|
185 |
+
No,50,Male,Travel_Rarely,College,Neutral,Positive,Engineer,29,Positive,3,1,0,1,1,1,Positive,No,No,10,Positive,US
|
186 |
+
No,53,Female,Travel_Rarely,High School,Neutral,Positive,Engineer,28,Positive,3,4,2,2,3,13,Positive,No,No,8,Positive,India
|
187 |
+
No,33,Female,Travel_Rarely,College,Neutral,Negative,Engineer/TLCP,29,Neutral,4,3,1,3,2,14,Positive,No,No,32,Positive,US
|
188 |
+
No,40,Female,Travel_Rarely,College,Neutral,Neutral,Engineer,27,Positive,3,3,0,2,1,4,Positive,No,No,8,Neutral,India
|
189 |
+
No,55,Male,Travel_Rarely,High School,Positive,Neutral,Engineer,28,Positive,4,4,1,2,1,14,Positive,No,No,8,Negative,US
|
190 |
+
No,34,Male,Travel_Frequently,College,Positive,Neutral,Engineer,28,Neutral,4,1,0,1,2,2,Positive,No,No,8,Positive,India
|
191 |
+
No,51,Female,Travel_Rarely,College,Positive,Neutral,Engineer,28,Neutral,4,8,1,2,1,3,Positive,Yes,No,8,Positive,US
|
192 |
+
No,52,Male,Travel_Rarely,College,Positive,Neutral,Engineer/TLCP,28,Positive,3,10,0,2,1,1,Neutral,Yes,No,8,Negative,India
|
193 |
+
No,27,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,3,2,0,1,1,9,Neutral,Yes,No,10,Positive,US
|
194 |
+
Yes,35,Male,Travel_Rarely,Masters,Negative,Negative,Manager,29,Neutral,3,3,2,2,3,23,Negative,Yes,No,8,Negative,India
|
195 |
+
No,43,Male,Non-Travel,College,Positive,Positive,Engineer,28,Negative,4,4,1,3,2,7,Positive,No,No,32,Positive,US
|
196 |
+
No,45,Male,Non-Travel,College,Positive,Positive,Engineer/TLCP,28,Neutral,4,2,1,2,1,2,Neutral,No,No,8,Positive,India
|
197 |
+
No,37,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Neutral,3,5,0,2,1,21,Neutral,No,No,8,Negative,US
|
198 |
+
No,35,Female,Travel_Frequently,College,Neutral,Positive,Engineer,29,Positive,2,1,0,1,1,2,Positive,No,Yes,8,Positive,India
|
199 |
+
No,42,Female,Non-Travel,College,Positive,Positive,Engineer/TLCP,28,Positive,4,2,1,3,2,21,Positive,Yes,Yes,8,Neutral,US
|
200 |
+
No,38,Male,Travel_Rarely,College,Neutral,Negative,Manager,27,Positive,3,2,5,3,1,2,Positive,Yes,No,5,Positive,US
|
201 |
+
No,38,Male,Travel_Rarely,College,Positive,Positive,Director,30,Neutral,3,0,0,1,1,29,Neutral,No,Yes,9,Positive,US
|
202 |
+
No,27,Male,Travel_Frequently,College,Neutral,Negative,Director,28,Negative,3,3,0,2,3,1,Neutral,No,No,2,Positive,India
|
203 |
+
No,49,Male,Non-Travel,College,Positive,Positive,Admin,27,Positive,3,1,0,2,1,18,Positive,Yes,Yes,15,Neutral,US
|
204 |
+
No,34,Male,Travel_Frequently,College,Positive,Negative,Engineer,27,Positive,2,1,0,3,1,10,Neutral,Yes,Yes,8,Negative,India
|
205 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,4,0,1,1,1,19,Neutral,Yes,Yes,5,Positive,India
|
206 |
+
Yes,38,Male,Travel_Rarely,College,Neutral,Negative,EngineerTLCP,28,Negative,2,2,5,2,3,29,Negative,Yes,No,5,Positive,India
|
207 |
+
Yes,29,Female,Travel_Rarely,College,Neutral,Negative,Analyst,28,Negative,3,2,2,2,2,27,Neutral,Yes,Yes,8,Negative,India
|
208 |
+
No,22,Male,Travel_Rarely,College,Positive,Positive,Engineer,29,Positive,4,0,0,3,1,5,Positive,Yes,Yes,8,Positive,India
|
209 |
+
No,36,Female,Travel_Frequently,College,Positive,Positive,Engineer,27,Positive,4,1,1,1,1,18,Positive,Yes,Yes,8,Positive,US
|
210 |
+
No,40,Male,Non-Travel,College,Positive,Positive,Director,27,Positive,5,4,2,3,1,9,Positive,No,No,6,Positive,US
|
211 |
+
No,46,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,2,2,0,1,1,1,Positive,No,Yes,12,Positive,India
|
212 |
+
Yes,32,Male,Travel_Rarely,College,Negative,Neutral,Admin,27,Neutral,4,3,1,2,3,4,Negative,Yes,No,9,Negative,India
|
213 |
+
No,30,Male,Non-Travel,College,Neutral,Positive,Admin,27,Positive,4,3,2,2,1,1,Positive,Yes,No,2,Positive,India
|
214 |
+
No,27,Female,Travel_Frequently,College,Neutral,Negative,Analyst,27,Positive,4,3,2,3,1,20,Neutral,Yes,Yes,4,Positive,India
|
215 |
+
No,51,Male,Travel_Rarely,College,Neutral,Positive,Director,28,Neutral,3,2,1,1,1,8,Neutral,Yes,Yes,8,Positive,India
|
216 |
+
Yes,30,Female,Travel_Rarely,College,Negative,Negative,Director,30,Negative,4,4,0,3,1,3,Negative,Yes,Yes,6,Neutral,India
|
217 |
+
No,41,Female,Travel_Rarely,College,Neutral,Positive,Engineer,27,Positive,3,1,2,1,1,6,Positive,Yes,Yes,12,Negative,India
|
218 |
+
Yes,30,Female,Travel_Frequently,College,Negative,Neutral,Admin,27,Positive,2,1,3,3,1,26,Positive,No,Yes,8,Positive,India
|
219 |
+
Yes,29,Male,Travel_Rarely,College,Positive,Neutral,Admin,27,Neutral,4,1,1,1,1,1,Negative,Yes,Yes,11,Negative,India
|
220 |
+
No,45,Female,Non-Travel,College,Positive,Positive,Director,30,Negative,2,4,1,2,3,6,Positive,No,Yes,12,Negative,US
|
221 |
+
No,54,Female,Travel_Rarely,Highschool,Positive,Positive,Manager,27,Neutral,3,1,0,2,1,3,Positive,Yes,No,5,Positive,US
|
222 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,28,Negative,3,3,0,1,1,5,Positive,No,Yes,8,Positive,India
|
223 |
+
No,33,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,3,4,1,3,1,4,Neutral,Yes,Yes,4,Positive,US
|
224 |
+
No,37,Male,Travel_Frequently,College,Positive,Positive,Analyst,27,Positive,5,2,2,1,1,11,Positive,No,Yes,10,Positive,US
|
225 |
+
No,38,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,4,2,0,2,3,3,Positive,Yes,Yes,6,Negative,India
|
226 |
+
No,31,Male,Non-Travel,College,Neutral,Positive,Manager,27,Positive,3,1,3,2,1,1,Positive,Yes,No,7,Positive,India
|
227 |
+
No,59,Male,Travel_Rarely,Highschool,Positive,Positive,Manager,27,Positive,3,3,0,2,3,3,Neutral,No,Yes,12,Neutral,US
|
228 |
+
No,37,Male,Travel_Frequently,College,Positive,Positive,EngineerTLCP,29,Positive,5,4,0,2,1,4,Neutral,No,Yes,10,Positive,India
|
229 |
+
No,29,Female,Travel_Frequently,College,Neutral,Negative,Engineer,27,Positive,4,2,2,1,1,1,Positive,Yes,Yes,8,Neutral,India
|
230 |
+
No,35,Female,Travel_Frequently,College,Positive,Positive,Manager,30,Negative,2,2,0,3,1,1,Positive,Yes,No,7,Positive,US
|
231 |
+
Yes,29,Male,Travel_Rarely,College,Neutral,Negative,Manager,28,Negative,3,3,2,1,1,18,Neutral,Yes,No,2,Positive,India
|
232 |
+
No,52,Female,Travel_Rarely,Masters,Positive,Positive,Analyst,27,Negative,5,6,1,2,3,2,Neutral,No,No,4,Positive,India
|
233 |
+
No,42,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,5,0,0,3,1,4,Neutral,Yes,Yes,9,Neutral,US
|
234 |
+
No,59,Male,Travel_Rarely,Masters,Positive,Positive,Engineer,27,Positive,2,5,2,1,1,6,Neutral,No,Yes,10,Negative,US
|
235 |
+
No,50,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Neutral,3,2,0,3,1,1,Neutral,No,Yes,11,Positive,US
|
236 |
+
Yes,33,Male,Travel_Rarely,College,Neutral,Negative,Manager,28,Positive,4,1,0,1,1,14,Negative,Yes,Yes,8,Negative,US
|
237 |
+
No,43,Female,Travel_Rarely,College,Positive,Neutral,Manager,28,Positive,4,4,2,3,1,16,Positive,Yes,Yes,8,Negative,India
|
238 |
+
Yes,33,Female,Travel_Rarely,College,Negative,Negative,Director,28,Negative,3,4,1,1,1,2,Negative,Yes,Yes,4,Negative,India
|
239 |
+
No,52,Male,Non-Travel,College,Positive,Positive,Manager,27,Positive,5,4,0,2,3,2,Positive,Yes,Yes,10,Positive,US
|
240 |
+
No,32,Female,Travel_Rarely,College,Positive,Positive,Director,30,Positive,3,0,0,2,1,4,Positive,Yes,Yes,8,Positive,India
|
241 |
+
Yes,32,Male,Travel_Rarely,College,Negative,Neutral,Director,28,Positive,3,1,3,1,1,1,Neutral,Yes,No,7,Positive,India
|
242 |
+
No,39,Female,Travel_Rarely,College,Positive,Neutral,Admin,27,Positive,4,6,1,2,3,1,Neutral,No,Yes,12,Negative,India
|
243 |
+
No,32,Male,Non-Travel,College,Neutral,Positive,Engineer,27,Positive,4,3,1,2,1,26,Neutral,Yes,No,9,Positive,US
|
244 |
+
No,41,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,5,0,0,1,1,19,Neutral,No,Yes,12,Neutral,US
|
245 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,28,Positive,4,1,0,3,1,24,Positive,Yes,Yes,15,Positive,US
|
246 |
+
No,45,Male,Travel_Rarely,College,Neutral,Neutral,Analyst,28,Positive,3,1,0,1,1,1,Positive,Yes,Yes,6,Neutral,India
|
247 |
+
No,31,Male,Travel_Frequently,College,Neutral,Positive,Engineer,29,Negative,3,3,1,2,3,3,Positive,No,Yes,15,Negative,India
|
248 |
+
No,33,Female,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,3,0,0,3,1,5,Neutral,Yes,Yes,9,Positive,India
|
249 |
+
No,34,Male,Travel_Rarely,College,Positive,Positive,Director,27,Positive,3,0,0,1,1,2,Neutral,No,Yes,12,Positive,India
|
250 |
+
No,37,Female,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,3,4,1,3,1,1,Neutral,Yes,Yes,5,Positive,US
|
251 |
+
No,45,Male,Travel_Frequently,College,Positive,Positive,Admin,27,Positive,2,5,0,1,1,7,Positive,No,Yes,14,Positive,US
|
252 |
+
Yes,37,Male,Travel_Frequently,College,Positive,Neutral,Admin,27,Negative,2,2,1,3,1,10,Negative,No,Yes,12,Negative,India
|
253 |
+
No,39,Female,Travel_Frequently,College,Positive,Positive,Analyst,27,Positive,3,0,0,1,1,2,Positive,Yes,Yes,5,Negative,India
|
254 |
+
No,29,Male,Travel_Rarely,College,Positive,Positive,Director,28,Positive,3,1,1,2,3,15,Neutral,Yes,Yes,11,Positive,India
|
255 |
+
No,42,Female,Travel_Rarely,College,Positive,Positive,Director,30,Neutral,3,2,0,2,1,17,Neutral,No,Yes,15,Positive,India
|
256 |
+
No,29,Male,Travel_Rarely,College,Neutral,Negative,Engineer,27,Positive,3,1,0,1,1,20,Positive,Yes,No,8,Negative,India
|
257 |
+
No,25,Female,Travel_Rarely,College,Positive,Positive,Admin,27,Positive,2,0,0,2,3,1,Negative,Yes,No,9,Positive,India
|
258 |
+
No,42,Female,Travel_Rarely,College,Positive,Positive,Admin,27,Positive,4,3,0,3,2,2,Positive,Yes,No,10,Positive,US
|
259 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,Director,30,Positive,2,2,0,2,1,2,Positive,Yes,Yes,5,Positive,US
|
260 |
+
No,51,Male,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,3,6,0,2,1,1,Neutral,Yes,Yes,2,Positive,India
|
261 |
+
Yes,31,Male,Travel_Frequently,College,Neutral,Negative,EngineerTLCP,28,Negative,4,1,0,1,2,29,Positive,Yes,No,8,Negative,India
|
262 |
+
No,32,Male,Travel_Frequently,College,Positive,Positive,Engineer,27,Positive,4,0,0,2,1,7,Positive,No,No,9,Positive,India
|
263 |
+
No,38,Male,Non-Travel,College,Positive,Positive,Analyst,27,Positive,5,4,1,2,1,2,Neutral,Yes,Yes,5,Neutral,India
|
264 |
+
No,32,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,2,1,0,1,1,2,Positive,Yes,Yes,9,Positive,India
|
265 |
+
No,46,Female,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,4,3,0,2,3,2,Negative,No,Yes,12,Neutral,US
|
266 |
+
Yes,28,Male,Travel_Rarely,College,Neutral,Negative,Manager,27,Negative,4,3,0,3,2,2,Negative,No,No,2,Negative,India
|
267 |
+
No,29,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,29,Positive,4,1,0,2,1,2,Positive,Yes,Yes,4,Positive,India
|
268 |
+
No,31,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,3,0,1,2,1,23,Neutral,No,Yes,20,Positive,US
|
269 |
+
No,25,Male,Non-Travel,College,Positive,Positive,Manager,30,Positive,4,1,0,1,1,5,Neutral,Yes,No,4,Positive,India
|
270 |
+
No,45,Male,Travel_Rarely,Masters,Neutral,Positive,Manager,28,Positive,3,0,4,3,2,20,Positive,Yes,No,5,Neutral,US
|
271 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,2,2,1,3,1,6,Neutral,No,Yes,12,Negative,US
|
272 |
+
No,55,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,4,4,0,1,1,1,Negative,No,No,13,Positive,US
|
273 |
+
Yes,47,Male,Non-Travel,Masters,Negative,Neutral,Engineer,27,Negative,2,0,4,2,3,29,Negative,Yes,No,5,Positive,US
|
274 |
+
No,28,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,3,0,0,2,1,9,Positive,Yes,Yes,9,Negative,India
|
275 |
+
No,37,Male,Travel_Rarely,College,Positive,Positive,Manager,28,Negative,3,3,0,3,1,6,Neutral,Yes,Yes,8,Positive,India
|
276 |
+
No,21,Male,Travel_Rarely,College,Positive,Positive,Manager,28,Positive,3,0,0,1,1,3,Positive,No,Yes,20,Positive,India
|
277 |
+
No,37,Female,Non-Travel,College,Neutral,Positive,Director,28,Positive,5,3,0,2,3,1,Negative,No,Yes,18,Positive,India
|
278 |
+
No,35,Female,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,4,1,0,2,2,22,Positive,Yes,Yes,5,Positive,US
|
279 |
+
No,38,Female,Travel_Rarely,College,Neutral,Positive,Director,30,Positive,3,2,0,3,1,7,Neutral,No,Yes,14,Positive,US
|
280 |
+
No,26,Female,Travel_Frequently,College,Neutral,Negative,Director,28,Positive,3,3,0,1,1,1,Positive,No,No,2,Positive,India
|
281 |
+
No,50,Male,Travel_Rarely,College,Neutral,Positive,Admin,27,Positive,5,0,1,3,1,4,Positive,Yes,No,5,Positive,US
|
282 |
+
No,53,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,4,5,0,1,1,3,Negative,No,Yes,13,Neutral,US
|
283 |
+
No,42,Male,Travel_Rarely,College,Neutral,Positive,EngineerTLCP,27,Positive,2,2,0,2,3,1,Neutral,No,Yes,8,Negative,US
|
284 |
+
No,29,Male,Travel_Frequently,College,Positive,Positive,EngineerTLCP,28,Positive,3,1,0,2,1,2,Positive,Yes,No,9,Positive,India
|
285 |
+
No,55,Male,Travel_Rarely,College,Positive,Positive,Analyst,28,Positive,5,8,0,3,1,20,Positive,Yes,No,9,Positive,India
|
286 |
+
No,26,Male,Travel_Frequently,College,Positive,Positive,Engineer,29,Positive,5,1,0,1,1,11,Positive,Yes,Yes,12,Negative,US
|
287 |
+
No,37,Female,Travel_Rarely,College,Neutral,Positive,Engineer,27,Positive,2,6,0,3,1,1,Neutral,No,Yes,15,Positive,India
|
288 |
+
Yes,44,Male,Travel_Frequently,College,Neutral,Negative,Director,27,Neutral,3,2,1,1,1,24,Negative,No,Yes,8,Negative,US
|
289 |
+
No,38,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Neutral,4,4,0,3,1,23,Positive,Yes,Yes,9,Positive,US
|
290 |
+
Yes,26,Male,Travel_Rarely,College,Negative,Neutral,Admin,27,Negative,4,3,0,1,1,16,Negative,Yes,Yes,14,Negative,India
|
291 |
+
No,28,Female,Travel_Rarely,College,Neutral,Positive,Admin,27,Positive,3,1,3,2,3,8,Neutral,Yes,Yes,8,Negative,India
|
292 |
+
No,49,Female,Travel_Frequently,College,Positive,Positive,Analyst,27,Neutral,5,1,0,2,1,10,Neutral,No,Yes,11,Positive,US
|
293 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,Director,28,Positive,3,3,0,1,1,3,Neutral,No,Yes,20,Neutral,US
|
294 |
+
No,31,Female,Travel_Frequently,College,Neutral,Negative,Director,30,Positive,3,4,0,3,1,5,Positive,Yes,Yes,6,Positive,US
|
295 |
+
Yes,26,Male,Travel_Rarely,College,Neutral,Negative,Engineer,27,Negative,4,2,1,1,1,4,Neutral,Yes,No,10,Neutral,US
|
296 |
+
No,37,Male,Travel_Frequently,College,Positive,Positive,Admin,27,Positive,4,1,0,2,3,9,Positive,Yes,Yes,5,Positive,US
|
297 |
+
No,42,Female,Travel_Frequently,Engineer,Positive,Positive,Admin,27,Positive,5,1,0,2,1,26,Positive,Yes,No,7,Neutral,US
|
298 |
+
Yes,18,Male,Travel_Rarely,Highschool,Negative,Negative,Director,30,Positive,4,0,0,2,3,3,Negative,Yes,Yes,4,Negative,US
|
299 |
+
No,35,Male,Travel_Rarely,College,Positive,Positive,Manager,27,Negative,3,1,0,2,1,16,Negative,Yes,Yes,10,Positive,India
|
requirements.txt
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+
cufflinks
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+
sklearn
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