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Günter Windsperger 2021-06-01 16:14:51 +02:00
parent 80abd922b5
commit 81c1f1249c
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22
competition/multi-class_example/MCclassifier.py Normal file
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# 1. Importing new CSV data in pandas dataframes
import pandas as pd
data = pd.read_csv("iris_extension.csv")
# 2. Separating labels from data
y = data["label"]
data = data.drop(columns=["label"])
x = data.to_numpy()
# 3. Loading a trained model
import pickle
model = pickle.load(open('iris_classif_model.sav', 'rb'))
y_pred = model.predict(x)
# 4. Evaluating the model with the new data
from sklearn.metrics import classification_report, confusion_matrix
print("\n *************** MODEL EVALUATION ****************")
print("Confusion matrix:")
print(confusion_matrix(y, y_pred))
print(classification_report(y,y_pred))

36
competition/multi-class_example/MCmodel_trainer.py Normal file
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# 1. Importing CSV data for training in pandas dataframes
import pandas as pd
data = pd.read_csv("iris_base.csv")
# 2. Separating labels from data
y = data["label"]
data = data.drop(columns=["label"])
x = data.to_numpy()
# 3. Splitting data into training/test subsets for model training and validation
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(data, y, test_size=0.2, stratify=y)
# 4. Fitting a Naive Gaussian classifier with the training split
from sklearn.naive_bayes import GaussianNB
gnb = GaussianNB()
gnb.fit(x_train,y_train)
# 5. The obtained model is tested with both the training and test split
# to ensure no underfitting and overfitting issues
y_pred_train = gnb.predict(x_train)
y_pred_test = gnb.predict(x_test)
from sklearn.metrics import classification_report, confusion_matrix
print("\n *************** TRAINING ****************")
print("\n Confusion matrix:")
print(confusion_matrix(y_train, y_pred_train))
print(classification_report(y_train,y_pred_train))
print("\n ************** VALIDATION ***************")
print("\n Confusion matrix:")
print(confusion_matrix(y_test, y_pred_test))
print(classification_report(y_test,y_pred_test))
# 6. Saving the obtained model
import pickle
pickle.dump(gnb, open('iris_classif_model.sav', 'wb'))

101
competition/multi-class_example/iris_base.csv Normal file
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,sepal.length,sepal.width,petal.length,petal.width,label
58,6.6,2.9,4.6,1.3,Versicolor
62,6.0,2.2,4.0,1.0,Versicolor
98,5.1,2.5,3.0,1.1,Versicolor
137,6.4,3.1,5.5,1.8,Virginica
54,6.5,2.8,4.6,1.5,Versicolor
83,6.0,2.7,5.1,1.6,Versicolor
56,6.3,3.3,4.7,1.6,Versicolor
119,6.0,2.2,5.0,1.5,Virginica
66,5.6,3.0,4.5,1.5,Versicolor
103,6.3,2.9,5.6,1.8,Virginica
148,6.2,3.4,5.4,2.3,Virginica
105,7.6,3.0,6.6,2.1,Virginica
45,4.8,3.0,1.4,0.3,Setosa
134,6.1,2.6,5.6,1.4,Virginica
47,4.6,3.2,1.4,0.2,Setosa
136,6.3,3.4,5.6,2.4,Virginica
92,5.8,2.6,4.0,1.2,Versicolor
111,6.4,2.7,5.3,1.9,Virginica
36,5.5,3.5,1.3,0.2,Setosa
21,5.1,3.7,1.5,0.4,Setosa
122,7.7,2.8,6.7,2.0,Virginica
42,4.4,3.2,1.3,0.2,Setosa
53,5.5,2.3,4.0,1.3,Versicolor
115,6.4,3.2,5.3,2.3,Virginica
17,5.1,3.5,1.4,0.3,Setosa
123,6.3,2.7,4.9,1.8,Virginica
132,6.4,2.8,5.6,2.2,Virginica
29,4.7,3.2,1.6,0.2,Setosa
141,6.9,3.1,5.1,2.3,Virginica
142,5.8,2.7,5.1,1.9,Virginica
40,5.0,3.5,1.3,0.3,Setosa
69,5.6,2.5,3.9,1.1,Versicolor
118,7.7,2.6,6.9,2.3,Virginica
7,5.0,3.4,1.5,0.2,Setosa
102,7.1,3.0,5.9,2.1,Virginica
39,5.1,3.4,1.5,0.2,Setosa
4,5.0,3.6,1.4,0.2,Setosa
5,5.4,3.9,1.7,0.4,Setosa
96,5.7,2.9,4.2,1.3,Versicolor
147,6.5,3.0,5.2,2.0,Virginica
91,6.1,3.0,4.6,1.4,Versicolor
26,5.0,3.4,1.6,0.4,Setosa
120,6.9,3.2,5.7,2.3,Virginica
3,4.6,3.1,1.5,0.2,Setosa
129,7.2,3.0,5.8,1.6,Virginica
73,6.1,2.8,4.7,1.2,Versicolor
48,5.3,3.7,1.5,0.2,Setosa
72,6.3,2.5,4.9,1.5,Versicolor
140,6.7,3.1,5.6,2.4,Virginica
107,7.3,2.9,6.3,1.8,Virginica
114,5.8,2.8,5.1,2.4,Virginica
27,5.2,3.5,1.5,0.2,Setosa
33,5.5,4.2,1.4,0.2,Setosa
88,5.6,3.0,4.1,1.3,Versicolor
95,5.7,3.0,4.2,1.2,Versicolor
28,5.2,3.4,1.4,0.2,Setosa
43,5.0,3.5,1.6,0.6,Setosa
37,4.9,3.6,1.4,0.1,Setosa
50,7.0,3.2,4.7,1.4,Versicolor
97,6.2,2.9,4.3,1.3,Versicolor
80,5.5,2.4,3.8,1.1,Versicolor
22,4.6,3.6,1.0,0.2,Setosa
9,4.9,3.1,1.5,0.1,Setosa
86,6.7,3.1,4.7,1.5,Versicolor
8,4.4,2.9,1.4,0.2,Setosa
146,6.3,2.5,5.0,1.9,Virginica
63,6.1,2.9,4.7,1.4,Versicolor
76,6.8,2.8,4.8,1.4,Versicolor
121,5.6,2.8,4.9,2.0,Virginica
38,4.4,3.0,1.3,0.2,Setosa
41,4.5,2.3,1.3,0.3,Setosa
16,5.4,3.9,1.3,0.4,Setosa
10,5.4,3.7,1.5,0.2,Setosa
99,5.7,2.8,4.1,1.3,Versicolor
85,6.0,3.4,4.5,1.6,Versicolor
110,6.5,3.2,5.1,2.0,Virginica
70,5.9,3.2,4.8,1.8,Versicolor
93,5.0,2.3,3.3,1.0,Versicolor
65,6.7,3.1,4.4,1.4,Versicolor
49,5.0,3.3,1.4,0.2,Setosa
108,6.7,2.5,5.8,1.8,Virginica
133,6.3,2.8,5.1,1.5,Virginica
12,4.8,3.0,1.4,0.1,Setosa
139,6.9,3.1,5.4,2.1,Virginica
143,6.8,3.2,5.9,2.3,Virginica
35,5.0,3.2,1.2,0.2,Setosa
138,6.0,3.0,4.8,1.8,Virginica
71,6.1,2.8,4.0,1.3,Versicolor
59,5.2,2.7,3.9,1.4,Versicolor
60,5.0,2.0,3.5,1.0,Versicolor
14,5.8,4.0,1.2,0.2,Setosa
44,5.1,3.8,1.9,0.4,Setosa
109,7.2,3.6,6.1,2.5,Virginica
117,7.7,3.8,6.7,2.2,Virginica
144,6.7,3.3,5.7,2.5,Virginica
112,6.8,3.0,5.5,2.1,Virginica
15,5.7,4.4,1.5,0.4,Setosa
79,5.7,2.6,3.5,1.0,Versicolor
55,5.7,2.8,4.5,1.3,Versicolor
94,5.6,2.7,4.2,1.3,Versicolor
1 sepal.length sepal.width petal.length petal.width label
2 58 6.6 2.9 4.6 1.3 Versicolor
3 62 6.0 2.2 4.0 1.0 Versicolor
4 98 5.1 2.5 3.0 1.1 Versicolor
5 137 6.4 3.1 5.5 1.8 Virginica
6 54 6.5 2.8 4.6 1.5 Versicolor
7 83 6.0 2.7 5.1 1.6 Versicolor
8 56 6.3 3.3 4.7 1.6 Versicolor
9 119 6.0 2.2 5.0 1.5 Virginica
10 66 5.6 3.0 4.5 1.5 Versicolor
11 103 6.3 2.9 5.6 1.8 Virginica
12 148 6.2 3.4 5.4 2.3 Virginica
13 105 7.6 3.0 6.6 2.1 Virginica
14 45 4.8 3.0 1.4 0.3 Setosa
15 134 6.1 2.6 5.6 1.4 Virginica
16 47 4.6 3.2 1.4 0.2 Setosa
17 136 6.3 3.4 5.6 2.4 Virginica
18 92 5.8 2.6 4.0 1.2 Versicolor
19 111 6.4 2.7 5.3 1.9 Virginica
20 36 5.5 3.5 1.3 0.2 Setosa
21 21 5.1 3.7 1.5 0.4 Setosa
22 122 7.7 2.8 6.7 2.0 Virginica
23 42 4.4 3.2 1.3 0.2 Setosa
24 53 5.5 2.3 4.0 1.3 Versicolor
25 115 6.4 3.2 5.3 2.3 Virginica
26 17 5.1 3.5 1.4 0.3 Setosa
27 123 6.3 2.7 4.9 1.8 Virginica
28 132 6.4 2.8 5.6 2.2 Virginica
29 29 4.7 3.2 1.6 0.2 Setosa
30 141 6.9 3.1 5.1 2.3 Virginica
31 142 5.8 2.7 5.1 1.9 Virginica
32 40 5.0 3.5 1.3 0.3 Setosa
33 69 5.6 2.5 3.9 1.1 Versicolor
34 118 7.7 2.6 6.9 2.3 Virginica
35 7 5.0 3.4 1.5 0.2 Setosa
36 102 7.1 3.0 5.9 2.1 Virginica
37 39 5.1 3.4 1.5 0.2 Setosa
38 4 5.0 3.6 1.4 0.2 Setosa
39 5 5.4 3.9 1.7 0.4 Setosa
40 96 5.7 2.9 4.2 1.3 Versicolor
41 147 6.5 3.0 5.2 2.0 Virginica
42 91 6.1 3.0 4.6 1.4 Versicolor
43 26 5.0 3.4 1.6 0.4 Setosa
44 120 6.9 3.2 5.7 2.3 Virginica
45 3 4.6 3.1 1.5 0.2 Setosa
46 129 7.2 3.0 5.8 1.6 Virginica
47 73 6.1 2.8 4.7 1.2 Versicolor
48 48 5.3 3.7 1.5 0.2 Setosa
49 72 6.3 2.5 4.9 1.5 Versicolor
50 140 6.7 3.1 5.6 2.4 Virginica
51 107 7.3 2.9 6.3 1.8 Virginica
52 114 5.8 2.8 5.1 2.4 Virginica
53 27 5.2 3.5 1.5 0.2 Setosa
54 33 5.5 4.2 1.4 0.2 Setosa
55 88 5.6 3.0 4.1 1.3 Versicolor
56 95 5.7 3.0 4.2 1.2 Versicolor
57 28 5.2 3.4 1.4 0.2 Setosa
58 43 5.0 3.5 1.6 0.6 Setosa
59 37 4.9 3.6 1.4 0.1 Setosa
60 50 7.0 3.2 4.7 1.4 Versicolor
61 97 6.2 2.9 4.3 1.3 Versicolor
62 80 5.5 2.4 3.8 1.1 Versicolor
63 22 4.6 3.6 1.0 0.2 Setosa
64 9 4.9 3.1 1.5 0.1 Setosa
65 86 6.7 3.1 4.7 1.5 Versicolor
66 8 4.4 2.9 1.4 0.2 Setosa
67 146 6.3 2.5 5.0 1.9 Virginica
68 63 6.1 2.9 4.7 1.4 Versicolor
69 76 6.8 2.8 4.8 1.4 Versicolor
70 121 5.6 2.8 4.9 2.0 Virginica
71 38 4.4 3.0 1.3 0.2 Setosa
72 41 4.5 2.3 1.3 0.3 Setosa
73 16 5.4 3.9 1.3 0.4 Setosa
74 10 5.4 3.7 1.5 0.2 Setosa
75 99 5.7 2.8 4.1 1.3 Versicolor
76 85 6.0 3.4 4.5 1.6 Versicolor
77 110 6.5 3.2 5.1 2.0 Virginica
78 70 5.9 3.2 4.8 1.8 Versicolor
79 93 5.0 2.3 3.3 1.0 Versicolor
80 65 6.7 3.1 4.4 1.4 Versicolor
81 49 5.0 3.3 1.4 0.2 Setosa
82 108 6.7 2.5 5.8 1.8 Virginica
83 133 6.3 2.8 5.1 1.5 Virginica
84 12 4.8 3.0 1.4 0.1 Setosa
85 139 6.9 3.1 5.4 2.1 Virginica
86 143 6.8 3.2 5.9 2.3 Virginica
87 35 5.0 3.2 1.2 0.2 Setosa
88 138 6.0 3.0 4.8 1.8 Virginica
89 71 6.1 2.8 4.0 1.3 Versicolor
90 59 5.2 2.7 3.9 1.4 Versicolor
91 60 5.0 2.0 3.5 1.0 Versicolor
92 14 5.8 4.0 1.2 0.2 Setosa
93 44 5.1 3.8 1.9 0.4 Setosa
94 109 7.2 3.6 6.1 2.5 Virginica
95 117 7.7 3.8 6.7 2.2 Virginica
96 144 6.7 3.3 5.7 2.5 Virginica
97 112 6.8 3.0 5.5 2.1 Virginica
98 15 5.7 4.4 1.5 0.4 Setosa
99 79 5.7 2.6 3.5 1.0 Versicolor
100 55 5.7 2.8 4.5 1.3 Versicolor
101 94 5.6 2.7 4.2 1.3 Versicolor

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competition/multi-class_example/iris_extension.csv Normal file
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,sepal.length,sepal.width,petal.length,petal.width,label
82,5.8,2.7,3.9,1.2,Versicolor
31,5.4,3.4,1.5,0.4,Setosa
90,5.5,2.6,4.4,1.2,Versicolor
74,6.4,2.9,4.3,1.3,Versicolor
1,4.9,3.0,1.4,0.2,Setosa
81,5.5,2.4,3.7,1.0,Versicolor
20,5.4,3.4,1.7,0.2,Setosa
0,5.1,3.5,1.4,0.2,Setosa
101,5.8,2.7,5.1,1.9,Virginica
135,7.7,3.0,6.1,2.3,Virginica
19,5.1,3.8,1.5,0.3,Setosa
46,5.1,3.8,1.6,0.2,Setosa
23,5.1,3.3,1.7,0.5,Setosa
61,5.9,3.0,4.2,1.5,Versicolor
87,6.3,2.3,4.4,1.3,Versicolor
104,6.5,3.0,5.8,2.2,Virginica
51,6.4,3.2,4.5,1.5,Versicolor
11,4.8,3.4,1.6,0.2,Setosa
34,4.9,3.1,1.5,0.2,Setosa
127,6.1,3.0,4.9,1.8,Virginica
52,6.9,3.1,4.9,1.5,Versicolor
30,4.8,3.1,1.6,0.2,Setosa
57,4.9,2.4,3.3,1.0,Versicolor
75,6.6,3.0,4.4,1.4,Versicolor
149,5.9,3.0,5.1,1.8,Virginica
25,5.0,3.0,1.6,0.2,Setosa
78,6.0,2.9,4.5,1.5,Versicolor
131,7.9,3.8,6.4,2.0,Virginica
116,6.5,3.0,5.5,1.8,Virginica
89,5.5,2.5,4.0,1.3,Versicolor
126,6.2,2.8,4.8,1.8,Virginica
2,4.7,3.2,1.3,0.2,Setosa
113,5.7,2.5,5.0,2.0,Virginica
67,5.8,2.7,4.1,1.0,Versicolor
145,6.7,3.0,5.2,2.3,Virginica
64,5.6,2.9,3.6,1.3,Versicolor
68,6.2,2.2,4.5,1.5,Versicolor
13,4.3,3.0,1.1,0.1,Setosa
130,7.4,2.8,6.1,1.9,Virginica
18,5.7,3.8,1.7,0.3,Setosa
128,6.4,2.8,5.6,2.1,Virginica
124,6.7,3.3,5.7,2.1,Virginica
6,4.6,3.4,1.4,0.3,Setosa
24,4.8,3.4,1.9,0.2,Setosa
84,5.4,3.0,4.5,1.5,Versicolor
77,6.7,3.0,5.0,1.7,Versicolor
32,5.2,4.1,1.5,0.1,Setosa
125,7.2,3.2,6.0,1.8,Virginica
100,6.3,3.3,6.0,2.5,Virginica
106,4.9,2.5,4.5,1.7,Virginica
1 sepal.length sepal.width petal.length petal.width label
2 82 5.8 2.7 3.9 1.2 Versicolor
3 31 5.4 3.4 1.5 0.4 Setosa
4 90 5.5 2.6 4.4 1.2 Versicolor
5 74 6.4 2.9 4.3 1.3 Versicolor
6 1 4.9 3.0 1.4 0.2 Setosa
7 81 5.5 2.4 3.7 1.0 Versicolor
8 20 5.4 3.4 1.7 0.2 Setosa
9 0 5.1 3.5 1.4 0.2 Setosa
10 101 5.8 2.7 5.1 1.9 Virginica
11 135 7.7 3.0 6.1 2.3 Virginica
12 19 5.1 3.8 1.5 0.3 Setosa
13 46 5.1 3.8 1.6 0.2 Setosa
14 23 5.1 3.3 1.7 0.5 Setosa
15 61 5.9 3.0 4.2 1.5 Versicolor
16 87 6.3 2.3 4.4 1.3 Versicolor
17 104 6.5 3.0 5.8 2.2 Virginica
18 51 6.4 3.2 4.5 1.5 Versicolor
19 11 4.8 3.4 1.6 0.2 Setosa
20 34 4.9 3.1 1.5 0.2 Setosa
21 127 6.1 3.0 4.9 1.8 Virginica
22 52 6.9 3.1 4.9 1.5 Versicolor
23 30 4.8 3.1 1.6 0.2 Setosa
24 57 4.9 2.4 3.3 1.0 Versicolor
25 75 6.6 3.0 4.4 1.4 Versicolor
26 149 5.9 3.0 5.1 1.8 Virginica
27 25 5.0 3.0 1.6 0.2 Setosa
28 78 6.0 2.9 4.5 1.5 Versicolor
29 131 7.9 3.8 6.4 2.0 Virginica
30 116 6.5 3.0 5.5 1.8 Virginica
31 89 5.5 2.5 4.0 1.3 Versicolor
32 126 6.2 2.8 4.8 1.8 Virginica
33 2 4.7 3.2 1.3 0.2 Setosa
34 113 5.7 2.5 5.0 2.0 Virginica
35 67 5.8 2.7 4.1 1.0 Versicolor
36 145 6.7 3.0 5.2 2.3 Virginica
37 64 5.6 2.9 3.6 1.3 Versicolor
38 68 6.2 2.2 4.5 1.5 Versicolor
39 13 4.3 3.0 1.1 0.1 Setosa
40 130 7.4 2.8 6.1 1.9 Virginica
41 18 5.7 3.8 1.7 0.3 Setosa
42 128 6.4 2.8 5.6 2.1 Virginica
43 124 6.7 3.3 5.7 2.1 Virginica
44 6 4.6 3.4 1.4 0.3 Setosa
45 24 4.8 3.4 1.9 0.2 Setosa
46 84 5.4 3.0 4.5 1.5 Versicolor
47 77 6.7 3.0 5.0 1.7 Versicolor
48 32 5.2 4.1 1.5 0.1 Setosa
49 125 7.2 3.2 6.0 1.8 Virginica
50 100 6.3 3.3 6.0 2.5 Virginica
51 106 4.9 2.5 4.5 1.7 Virginica

1154617
competition/training4tuplabeled.csv Normal file
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