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2021-210
2021-210
Commits
0c73f140
Commit
0c73f140
authored
Jul 05, 2021
by
isurugunarathna
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Create Python model
parent
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diet_plan/logistic_regression_weight.py
diet_plan/logistic_regression_weight.py
+50
-0
diet_plan/weight_data.csv
diet_plan/weight_data.csv
+1000
-0
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diet_plan/logistic_regression_weight.py
0 → 100644
View file @
0c73f140
#import pandas
import
pandas
as
pd
col_names
=
[
'breed'
,
'age'
,
'weight'
,
'label'
]
# load dataset
pima
=
pd
.
read_csv
(
"weight_data.csv"
,
header
=
None
,
names
=
col_names
)
print
(
"==================="
)
print
(
"Dataset head"
)
print
(
"==================="
)
print
(
pima
.
head
())
#split dataset in features and target variable
feature_cols
=
[
'breed'
,
'age'
,
'weight'
]
X
=
pima
[
feature_cols
]
# Features
y
=
pima
.
label
# Target variable
from
sklearn.model_selection
import
train_test_split
X_train
,
X_test
,
y_train
,
y_test
=
train_test_split
(
X
,
y
,
test_size
=
0.25
,
random_state
=
0
)
# import the class
from
sklearn.linear_model
import
LogisticRegression
# instantiate the model (using the default parameters)
logreg
=
LogisticRegression
()
# fit the model with data
logreg
.
fit
(
X_train
,
y_train
)
#
y_pred
=
logreg
.
predict
(
X_test
)
# import the metrics class
from
sklearn
import
metrics
cnf_matrix
=
metrics
.
confusion_matrix
(
y_test
,
y_pred
)
print
(
"==================="
)
print
(
"Confusion matrix"
)
print
(
"==================="
)
print
(
cnf_matrix
)
print
(
"==================="
)
print
(
"Accuracy"
)
print
(
"==================="
)
print
(
"Accuracy:"
,
metrics
.
accuracy_score
(
y_test
,
y_pred
))
# print("Precision:",metrics.precision_score(y_test, y_pred))
# print("Recall:",metrics.recall_score(y_test, y_pred))
# Prediction test
y_prediction_test
=
logreg
.
predict
([[
12
,
3
,
48
]])
y_labels
=
[
"Overweight"
,
"Normal"
,
"Underweight"
]
print
(
y_labels
[
y_prediction_test
[
0
]])
diet_plan/weight_data.csv
0 → 100644
View file @
0c73f140
5,4,22,1
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1,5,14,0
6,7,8,1
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8,4,4,0
3,13,14,0
3,9,32,1
13,15,28,2
15,12,46,1
7,11,36,0
7,14,50,2
10,12,31,0
7,13,48,1
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11,13,15,0
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5,12,33,0
13,14,2,0
4,7,46,1
3,15,18,0
13,1,21,1
5,10,38,2
7,10,41,1
3,2,35,0
5,10,42,2
1,7,43,2
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13,15,28,0
6,5,23,1
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4,3,49,1
15,1,13,2
2,1,47,2
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7,14,19,2
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1,4,13,0
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7,5,14,0
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6,3,7,1
8,15,33,0
5,13,43,2
3,2,40,2
15,9,7,1
13,2,15,2
1,13,7,1
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8,13,12,2
7,14,47,0
2,2,49,0
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15,5,27,1
11,7,48,1
5,14,27,2
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1,14,8,2
14,13,50,2
10,11,14,2
5,14,14,1
15,13,41,0
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2,12,37,1
7,14,25,2
12,7,13,1
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7,12,15,2
2,4,7,0
3,10,3,0
1,1,46,1
9,1,4,1
11,13,33,0
15,1,34,1
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11,5,45,2
14,15,44,0
3,10,11,0
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8,1,24,1
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13,11,35,0
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8,10,22,1
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13,1,38,1
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5,14,31,0
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6,4,24,0
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2,7,2,0
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14,4,21,0
12,5,23,0
5,6,37,0
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1,2,48,1
2,3,41,2
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6,11,42,2
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4,6,35,0
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8,6,21,0
1,10,47,2
14,11,23,2
13,4,48,2
7,9,11,2
11,2,28,0
14,12,34,2
11,8,48,0
3,2,3,2
6,13,34,2
14,11,17,2
7,5,19,2
15,13,10,1
9,2,15,1
2,11,36,2
9,3,43,2
1,9,36,2
11,1,3,1
8,7,2,0
11,12,31,1
3,7,38,1
13,1,47,2
8,12,39,0
12,8,26,1
12,13,44,2
5,13,22,1
1,8,42,1
11,9,3,0
15,11,10,0
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11,12,36,1
15,7,8,2
4,6,42,0
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10,3,7,0
13,9,14,2
4,8,26,2
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6,1,4,2
4,5,47,2
6,11,21,1
1,8,37,0
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5,12,50,2
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4,1,37,0
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7,10,16,1
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2,8,48,2
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10,3,39,1
9,13,49,1
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13,1,9,2
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3,12,3,0
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13,10,31,2
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13,14,43,1
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4,5,13,2
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14,1,31,2
2,15,32,0
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12,9,22,0
2,8,21,0
8,2,25,1
6,14,32,0
15,12,49,2
6,15,21,1
4,6,2,1
12,1,33,1
11,8,22,2
2,5,48,1
13,6,11,1
8,3,30,2
7,1,26,1
10,4,11,2
8,10,7,2
2,1,41,0
12,4,6,0
11,11,49,1
12,8,7,2
3,13,35,0
8,2,46,1
1,3,22,2
9,9,17,1
15,5,21,0
5,11,15,0
10,3,35,0
5,13,46,2
2,4,43,1
7,3,47,0
5,10,29,0
11,8,45,1
12,12,10,1
14,5,19,2
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2,4,28,0
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11,10,33,2
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15,9,37,2
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15,13,28,2
13,7,32,0
7,3,47,0
5,8,12,1
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8,5,26,0
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10,1,39,1
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4,14,36,0
9,11,38,0
8,8,16,1
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11,11,27,2
1,9,39,1
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3,6,3,1
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4,13,10,0
2,8,14,2
10,6,20,1
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6,10,32,0
2,8,39,0
5,13,31,1
3,3,2,2
7,2,28,2
4,10,29,2
7,14,39,1
14,13,12,2
15,6,23,0
13,9,5,0
3,8,40,0
15,2,28,0
13,9,33,1
3,14,24,1
11,2,9,0
11,13,21,0
2,12,16,0
1,3,26,2
10,15,20,1
15,3,3,1
14,1,36,1
13,10,37,1
1,12,10,2
9,6,45,1
14,11,20,2
14,4,10,1
4,10,38,1
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12,6,44,2
2,14,48,0
8,10,26,2
1,11,20,2
12,4,24,0
10,2,22,1
14,11,23,0
10,4,22,2
4,12,21,1
7,8,27,0
15,15,37,0
10,8,23,0
7,2,16,2
2,14,3,2
3,10,19,1
9,10,45,2
10,15,22,1
11,3,25,2
15,1,36,0
2,8,49,2
8,5,27,2
5,9,33,0
10,4,6,2
1,10,29,1
6,2,34,0
2,8,3,0
1,13,43,2
13,5,15,1
5,10,28,0
5,15,34,2
5,6,25,2
6,12,10,1
5,5,7,2
5,6,37,1
5,10,40,0
12,2,23,0
13,4,8,1
1,3,21,2
10,4,24,2
9,5,44,1
11,7,35,1
15,10,18,0
2,11,10,0
15,5,43,2
1,3,28,0
12,15,32,0
7,12,20,2
11,7,18,1
13,7,41,0
2,15,17,2
7,15,21,1
14,8,17,1
3,11,44,2
15,7,33,1
8,7,8,0
1,8,28,0
9,7,21,0
13,8,27,2
1,3,50,0
13,1,14,2
8,4,34,2
6,4,31,2
4,6,28,0
9,5,20,2
7,3,15,2
14,6,36,2
10,13,9,1
12,10,47,0
6,6,42,0
12,9,8,1
11,5,5,2
8,13,25,0
14,4,48,0
13,11,40,2
9,9,25,0
1,13,11,1
13,12,14,0
3,3,42,0
1,11,37,0
11,15,17,0
6,5,17,1
13,4,36,0
2,3,6,1
12,6,36,1
2,13,4,1
2,15,49,1
3,11,32,0
10,13,41,1
15,4,38,0
3,5,32,1
2,13,44,2
10,1,38,0
10,7,17,0
3,10,11,2
4,14,21,1
7,13,28,2
11,7,16,1
9,15,43,1
1,12,15,2
15,12,42,0
14,15,49,2
9,8,41,1
4,13,8,2
6,9,41,0
7,8,14,2
10,6,25,0
15,12,9,2
9,14,36,1
14,11,30,0
15,6,19,0
3,10,41,1
11,7,16,2
9,8,41,0
14,11,35,0
13,9,15,1
10,13,2,1
1,12,21,0
13,14,46,1
14,10,5,1
11,11,41,2
9,11,2,0
3,11,28,2
1,7,7,0
11,3,7,0
2,8,41,1
6,8,19,0
1,15,21,2
10,11,26,0
12,10,6,2
8,10,5,2
6,3,4,2
11,5,43,1
3,5,3,2
8,4,50,0
11,15,10,0
12,8,23,2
13,11,26,0
14,13,23,2
15,10,37,1
13,9,21,0
3,11,36,1
13,8,13,0
10,1,36,0
3,9,26,1
14,2,48,0
3,11,32,0
13,9,31,2
1,8,8,1
6,11,37,2
13,11,24,1
13,2,35,2
13,3,25,1
14,7,36,2
1,4,29,0
12,3,22,1
8,8,14,2
9,10,48,0
10,11,40,2
14,1,24,0
11,3,24,2
14,9,21,2
14,6,3,1
11,10,41,2
4,8,7,2
8,2,11,2
4,12,42,0
8,9,10,1
9,14,39,2
10,8,38,0
13,9,40,2
2,15,44,1
1,10,47,2
5,1,34,2
7,14,44,1
6,10,13,1
14,5,43,1
2,10,5,1
13,10,36,0
2,12,42,1
13,11,7,2
8,11,34,0
10,8,49,0
7,14,36,1
5,15,11,1
3,5,46,0
6,8,11,0
5,9,45,2
7,15,24,2
13,1,16,2
12,6,34,2
1,12,40,0
11,1,47,0
8,5,46,1
13,15,4,1
5,7,24,1
15,6,11,0
11,11,37,0
7,3,35,0
13,11,14,1
8,9,20,2
8,7,16,2
6,3,12,0
14,9,19,1
10,4,34,1
3,15,22,0
8,15,21,0
7,10,27,1
7,4,34,0
7,10,2,0
13,8,21,0
12,2,35,2
14,15,24,2
13,8,11,2
9,4,45,2
15,6,37,1
6,10,24,1
8,15,34,2
14,12,43,2
3,6,15,1
11,2,44,0
11,8,39,2
10,9,16,1
13,12,46,2
11,10,12,1
2,5,18,2
2,1,4,0
14,6,19,2
10,9,32,0
3,8,40,0
2,12,41,2
2,8,22,2
4,8,6,1
2,12,33,0
3,2,43,2
14,2,36,0
4,6,20,0
3,3,15,2
6,7,2,0
15,5,16,0
3,3,18,2
13,3,10,2
5,15,49,1
13,4,2,0
14,4,44,0
8,3,5,2
5,3,11,1
15,15,38,1
8,12,28,0
2,13,27,1
15,5,46,0
14,11,12,2
13,9,32,1
2,10,15,2
4,10,34,2
4,10,33,0
12,5,7,2
6,14,28,2
2,3,50,1
10,2,5,2
4,1,29,1
3,9,17,0
8,2,19,2
10,8,23,2
2,14,23,2
10,3,3,1
3,10,30,2
13,9,46,1
15,7,26,1
9,15,16,1
11,4,2,0
9,13,12,0
3,15,2,1
6,11,22,0
10,9,24,1
10,11,17,1
14,7,36,1
8,7,30,1
9,14,37,0
12,2,14,1
15,12,36,1
15,2,45,0
3,6,20,2
8,15,33,0
6,11,6,2
1,13,36,2
14,3,14,1
13,1,9,1
9,11,7,0
14,1,21,1
8,7,12,2
3,5,3,1
14,13,31,1
13,5,31,1
10,5,14,0
15,14,10,0
6,12,8,2
4,3,35,0
5,1,48,1
4,14,28,0
11,10,39,1
14,14,2,0
11,15,18,0
1,9,21,0
12,6,37,0
9,8,27,2
2,12,47,2
5,10,45,2
8,3,17,1
5,3,7,2
3,10,34,2
8,14,39,1
9,6,40,2
15,7,21,2
7,13,8,0
15,6,11,0
13,14,26,0
8,2,35,0
15,11,40,0
10,12,28,2
7,2,29,0
1,13,49,1
10,6,44,2
12,11,17,0
10,7,17,1
8,10,25,0
2,12,35,1
12,14,9,1
12,13,30,1
15,13,43,0
6,8,33,2
10,12,38,0
11,8,38,2
\ No newline at end of file
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