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fixed data

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This commit is contained in:
Jeremi Lisek 2022-05-13 10:04:09 +02:00
parent f7cccd4b4d
commit 876832c0e0
2 changed files with 6 additions and 6 deletions
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10
data/TEST/importedData.csv
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@ -118,7 +118,7 @@ DELAY,PAYED,NET-WORTH,INFLUENCE,SKARBOWKA,MEMBER,HAT,SIZE,PRIORITY
8,TRUE,44,95,FALSE,TRUE,FALSE,CompanySize.BIG,MEDIUM
0,TRUE,40,3,FALSE,FALSE,FALSE,CompanySize.SMALL,LOW
2,TRUE,49,39,FALSE,TRUE,TRUE,CompanySize.NO,LOW
10,TRUE,4,94,FALSE,TRUE,TRUE,CompanySize.BIG,HIGH
10,TRUE,4,94,FALSE,TRUE,TRUE,CompanySize.BIG,MEDIUM
0,TRUE,90,86,FALSE,TRUE,FALSE,CompanySize.SMALL,MEDIUM
14,TRUE,61,74,FALSE,FALSE,FALSE,CompanySize.GIGANTISHE,MEDIUM
3,TRUE,86,27,FALSE,FALSE,TRUE,CompanySize.NORMAL,MEDIUM
@ -127,7 +127,7 @@ DELAY,PAYED,NET-WORTH,INFLUENCE,SKARBOWKA,MEMBER,HAT,SIZE,PRIORITY
13,TRUE,96,89,FALSE,FALSE,FALSE,CompanySize.NO,MEDIUM
7,TRUE,83,73,FALSE,TRUE,TRUE,CompanySize.HUGE,HIGH
7,TRUE,21,30,FALSE,FALSE,TRUE,CompanySize.NO,LOW
10,TRUE,26,41,FALSE,TRUE,TRUE,CompanySize.NO,MEDIUM
10,TRUE,26,41,FALSE,TRUE,TRUE,CompanySize.NO,LOW
13,FALSE,73,16,FALSE,TRUE,FALSE,CompanySize.NO,LOW
12,TRUE,30,54,TRUE,TRUE,TRUE,CompanySize.GIGANTISHE,HIGH
12,FALSE,9,52,FALSE,FALSE,FALSE,CompanySize.NORMAL,LOW
@ -180,7 +180,7 @@ DELAY,PAYED,NET-WORTH,INFLUENCE,SKARBOWKA,MEMBER,HAT,SIZE,PRIORITY
5,FALSE,24,41,FALSE,FALSE,FALSE,CompanySize.BIG,LOW
0,TRUE,0,25,FALSE,TRUE,FALSE,CompanySize.BIG,MEDIUM
13,TRUE,41,91,TRUE,FALSE,TRUE,CompanySize.NORMAL,HIGH
5,TRUE,15,10,FALSE,TRUE,TRUE,CompanySize.GIGANTISHE,HIGH
5,TRUE,15,10,FALSE,TRUE,TRUE,CompanySize.GIGANTISHE,MEDIUM
5,TRUE,91,94,FALSE,TRUE,TRUE,CompanySize.HUGE,HIGH
9,TRUE,83,98,FALSE,TRUE,FALSE,CompanySize.HUGE,HIGH
12,TRUE,58,56,FALSE,FALSE,FALSE,CompanySize.BIG,MEDIUM
@ -219,8 +219,8 @@ DELAY,PAYED,NET-WORTH,INFLUENCE,SKARBOWKA,MEMBER,HAT,SIZE,PRIORITY
12,FALSE,68,33,FALSE,FALSE,TRUE,CompanySize.NORMAL,LOW
7,TRUE,12,25,FALSE,TRUE,TRUE,CompanySize.NORMAL,LOW
8,FALSE,63,4,FALSE,FALSE,TRUE,CompanySize.GIGANTISHE,LOW
8,TRUE,82,18,FALSE,FALSE,TRUE,CompanySize.HUGE,LOW
5,TRUE,56,85,FALSE,FALSE,FALSE,CompanySize.HUGE,LOW
8,TRUE,82,18,FALSE,FALSE,TRUE,CompanySize.HUGE,HIGH
5,TRUE,56,85,FALSE,FALSE,FALSE,CompanySize.HUGE,MEDIUM
7,FALSE,96,29,FALSE,FALSE,TRUE,CompanySize.GIGANTISHE,LOW
9,FALSE,24,46,FALSE,TRUE,TRUE,CompanySize.BIG,LOW
9,FALSE,38,35,FALSE,TRUE,TRUE,CompanySize.NO,LOW

1 DELAY PAYED NET-WORTH INFLUENCE SKARBOWKA MEMBER HAT SIZE PRIORITY
118 8 TRUE 44 95 FALSE TRUE FALSE CompanySize.BIG MEDIUM
119 0 TRUE 40 3 FALSE FALSE FALSE CompanySize.SMALL LOW
120 2 TRUE 49 39 FALSE TRUE TRUE CompanySize.NO LOW
121 10 TRUE 4 94 FALSE TRUE TRUE CompanySize.BIG HIGH MEDIUM
122 0 TRUE 90 86 FALSE TRUE FALSE CompanySize.SMALL MEDIUM
123 14 TRUE 61 74 FALSE FALSE FALSE CompanySize.GIGANTISHE MEDIUM
124 3 TRUE 86 27 FALSE FALSE TRUE CompanySize.NORMAL MEDIUM
127 13 TRUE 96 89 FALSE FALSE FALSE CompanySize.NO MEDIUM
128 7 TRUE 83 73 FALSE TRUE TRUE CompanySize.HUGE HIGH
129 7 TRUE 21 30 FALSE FALSE TRUE CompanySize.NO LOW
130 10 TRUE 26 41 FALSE TRUE TRUE CompanySize.NO MEDIUM LOW
131 13 FALSE 73 16 FALSE TRUE FALSE CompanySize.NO LOW
132 12 TRUE 30 54 TRUE TRUE TRUE CompanySize.GIGANTISHE HIGH
133 12 FALSE 9 52 FALSE FALSE FALSE CompanySize.NORMAL LOW
180 5 FALSE 24 41 FALSE FALSE FALSE CompanySize.BIG LOW
181 0 TRUE 0 25 FALSE TRUE FALSE CompanySize.BIG MEDIUM
182 13 TRUE 41 91 TRUE FALSE TRUE CompanySize.NORMAL HIGH
183 5 TRUE 15 10 FALSE TRUE TRUE CompanySize.GIGANTISHE HIGH MEDIUM
184 5 TRUE 91 94 FALSE TRUE TRUE CompanySize.HUGE HIGH
185 9 TRUE 83 98 FALSE TRUE FALSE CompanySize.HUGE HIGH
186 12 TRUE 58 56 FALSE FALSE FALSE CompanySize.BIG MEDIUM
219 12 FALSE 68 33 FALSE FALSE TRUE CompanySize.NORMAL LOW
220 7 TRUE 12 25 FALSE TRUE TRUE CompanySize.NORMAL LOW
221 8 FALSE 63 4 FALSE FALSE TRUE CompanySize.GIGANTISHE LOW
222 8 TRUE 82 18 FALSE FALSE TRUE CompanySize.HUGE LOW HIGH
223 5 TRUE 56 85 FALSE FALSE FALSE CompanySize.HUGE LOW MEDIUM
224 7 FALSE 96 29 FALSE FALSE TRUE CompanySize.GIGANTISHE LOW
225 9 FALSE 24 46 FALSE TRUE TRUE CompanySize.BIG LOW
226 9 FALSE 38 35 FALSE TRUE TRUE CompanySize.NO LOW

2
main.py
View File

@ -101,7 +101,7 @@ if __name__ == '__main__':
label_BP.fit(['CompanySize.NO', 'CompanySize.SMALL', 'CompanySize.NORMAL', 'CompanySize.BIG', 'CompanySize.HUGE', 'CompanySize.GIGANTISHE'])
X[:, 7] = label_BP.transform(X[:, 7])
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, train_size=0.8)
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.15, train_size=0.85)
drugTree = DecisionTreeClassifier(criterion="entropy", max_depth=4)