Model.predict_proba¶

In [ ]:

Model.predict_proba(vdf: Union[str, vDataFrame],
                    X: list = [],
                    name: str = "",
                    pos_label: Union[int, str, float] = None,
                    inplace: bool = True)

Returns the model's probabilities using the input relation.

Parameters¶

Name	Type	Optional	Description
vdf	str / vDataFrame	❌	Object to use to run the prediction. It can also be a customized relation but you need to englobe it using an alias. For example "(SELECT 1) x" is correct whereas "(SELECT 1)" or "SELECT 1" are incorrect.
X	list	✓	List of the columns used to deploy the models. If empty, the model predictors will be used.
name	str	✓	Name of the added vcolumn. If empty, a name will be generated.
pos_label	int / str / float	✓	Class label, the class for which the probability is calculated. If name is specified and pos_label is unspecified, the probability column names use the following format: name_class1, name_class2, etc.
inplace	bool	✓	If set to True, the prediction will be added to the vDataFrame.

Returns¶

vDataFrame : the input object.

Example¶

In [1]:

from verticapy.datasets import load_iris
iris = load_iris()
display(iris)

	123 SepalLengthCm Numeric(5,2)	123 SepalWidthCm Numeric(5,2)	123 PetalLengthCm Numeric(5,2)	123 PetalWidthCm Numeric(5,2)	Abc Species Varchar(30)
1	4.3	3.0	1.1	0.1	Iris-setosa
2	4.4	2.9	1.4	0.2	Iris-setosa
3	4.4	3.0	1.3	0.2	Iris-setosa
4	4.4	3.2	1.3	0.2	Iris-setosa
5	4.5	2.3	1.3	0.3	Iris-setosa
6	4.6	3.1	1.5	0.2	Iris-setosa
7	4.6	3.2	1.4	0.2	Iris-setosa
8	4.6	3.4	1.4	0.3	Iris-setosa
9	4.6	3.6	1.0	0.2	Iris-setosa
10	4.7	3.2	1.3	0.2	Iris-setosa
11	4.7	3.2	1.6	0.2	Iris-setosa
12	4.8	3.0	1.4	0.1	Iris-setosa
13	4.8	3.0	1.4	0.3	Iris-setosa
14	4.8	3.1	1.6	0.2	Iris-setosa
15	4.8	3.4	1.6	0.2	Iris-setosa
16	4.8	3.4	1.9	0.2	Iris-setosa
17	4.9	2.4	3.3	1.0	Iris-versicolor
18	4.9	2.5	4.5	1.7	Iris-virginica
19	4.9	3.0	1.4	0.2	Iris-setosa
20	4.9	3.1	1.5	0.1	Iris-setosa
21	4.9	3.1	1.5	0.1	Iris-setosa
22	4.9	3.1	1.5	0.1	Iris-setosa
23	5.0	2.0	3.5	1.0	Iris-versicolor
24	5.0	2.3	3.3	1.0	Iris-versicolor
25	5.0	3.0	1.6	0.2	Iris-setosa
26	5.0	3.2	1.2	0.2	Iris-setosa
27	5.0	3.3	1.4	0.2	Iris-setosa
28	5.0	3.4	1.5	0.2	Iris-setosa
29	5.0	3.4	1.6	0.4	Iris-setosa
30	5.0	3.5	1.3	0.3	Iris-setosa
31	5.0	3.5	1.6	0.6	Iris-setosa
32	5.0	3.6	1.4	0.2	Iris-setosa
33	5.1	2.5	3.0	1.1	Iris-versicolor
34	5.1	3.3	1.7	0.5	Iris-setosa
35	5.1	3.4	1.5	0.2	Iris-setosa
36	5.1	3.5	1.4	0.2	Iris-setosa
37	5.1	3.5	1.4	0.3	Iris-setosa
38	5.1	3.7	1.5	0.4	Iris-setosa
39	5.1	3.8	1.5	0.3	Iris-setosa
40	5.1	3.8	1.6	0.2	Iris-setosa
41	5.1	3.8	1.9	0.4	Iris-setosa
42	5.2	2.7	3.9	1.4	Iris-versicolor
43	5.2	3.4	1.4	0.2	Iris-setosa
44	5.2	3.5	1.5	0.2	Iris-setosa
45	5.2	4.1	1.5	0.1	Iris-setosa
46	5.3	3.7	1.5	0.2	Iris-setosa
47	5.4	3.0	4.5	1.5	Iris-versicolor
48	5.4	3.4	1.5	0.4	Iris-setosa
49	5.4	3.4	1.7	0.2	Iris-setosa
50	5.4	3.7	1.5	0.2	Iris-setosa
51	5.4	3.9	1.3	0.4	Iris-setosa
52	5.4	3.9	1.7	0.4	Iris-setosa
53	5.5	2.3	4.0	1.3	Iris-versicolor
54	5.5	2.4	3.7	1.0	Iris-versicolor
55	5.5	2.4	3.8	1.1	Iris-versicolor
56	5.5	2.5	4.0	1.3	Iris-versicolor
57	5.5	2.6	4.4	1.2	Iris-versicolor
58	5.5	3.5	1.3	0.2	Iris-setosa
59	5.5	4.2	1.4	0.2	Iris-setosa
60	5.6	2.5	3.9	1.1	Iris-versicolor
61	5.6	2.7	4.2	1.3	Iris-versicolor
62	5.6	2.8	4.9	2.0	Iris-virginica
63	5.6	2.9	3.6	1.3	Iris-versicolor
64	5.6	3.0	4.1	1.3	Iris-versicolor
65	5.6	3.0	4.5	1.5	Iris-versicolor
66	5.7	2.5	5.0	2.0	Iris-virginica
67	5.7	2.6	3.5	1.0	Iris-versicolor
68	5.7	2.8	4.1	1.3	Iris-versicolor
69	5.7	2.8	4.5	1.3	Iris-versicolor
70	5.7	2.9	4.2	1.3	Iris-versicolor
71	5.7	3.0	4.2	1.2	Iris-versicolor
72	5.7	3.8	1.7	0.3	Iris-setosa
73	5.7	4.4	1.5	0.4	Iris-setosa
74	5.8	2.6	4.0	1.2	Iris-versicolor
75	5.8	2.7	3.9	1.2	Iris-versicolor
76	5.8	2.7	4.1	1.0	Iris-versicolor
77	5.8	2.7	5.1	1.9	Iris-virginica
78	5.8	2.7	5.1	1.9	Iris-virginica
79	5.8	2.8	5.1	2.4	Iris-virginica
80	5.8	4.0	1.2	0.2	Iris-setosa
81	5.9	3.0	4.2	1.5	Iris-versicolor
82	5.9	3.0	5.1	1.8	Iris-virginica
83	5.9	3.2	4.8	1.8	Iris-versicolor
84	6.0	2.2	4.0	1.0	Iris-versicolor
85	6.0	2.2	5.0	1.5	Iris-virginica
86	6.0	2.7	5.1	1.6	Iris-versicolor
87	6.0	2.9	4.5	1.5	Iris-versicolor
88	6.0	3.0	4.8	1.8	Iris-virginica
89	6.0	3.4	4.5	1.6	Iris-versicolor
90	6.1	2.6	5.6	1.4	Iris-virginica
91	6.1	2.8	4.0	1.3	Iris-versicolor
92	6.1	2.8	4.7	1.2	Iris-versicolor
93	6.1	2.9	4.7	1.4	Iris-versicolor
94	6.1	3.0	4.6	1.4	Iris-versicolor
95	6.1	3.0	4.9	1.8	Iris-virginica
96	6.2	2.2	4.5	1.5	Iris-versicolor
97	6.2	2.8	4.8	1.8	Iris-virginica
98	6.2	2.9	4.3	1.3	Iris-versicolor
99	6.2	3.4	5.4	2.3	Iris-virginica
100	6.3	2.3	4.4	1.3	Iris-versicolor

Rows: 1-100 | Columns: 5

In [2]:

from verticapy.learn.ensemble import RandomForestClassifier
model = RandomForestClassifier(name = "public.RF_iris",
                               n_estimators = 20,
                               max_features = "auto",
                               max_leaf_nodes = 32, 
                               sample = 0.7,
                               max_depth = 3,
                               min_samples_leaf = 5,
                               min_info_gain = 0.0,
                               nbins = 32)
model.fit(iris, ["PetalLengthCm", "PetalWidthCm"], "Species")
model.predict_proba(iris, 
                    X = ["PetalLengthCm", "PetalWidthCm"],
                    name = "iris_prediction")

Out[2]:

	123 SepalLengthCm Numeric(5,2)	123 SepalWidthCm Numeric(5,2)	123 PetalLengthCm Numeric(5,2)	123 PetalWidthCm Numeric(5,2)	Abc Species Varchar(30)	Abc iris_prediction_irissetosa Varchar(128)	Abc iris_prediction_irisversicolor Varchar(128)	Abc iris_prediction_irisvirginica Varchar(128)
1	4.3	3.0	1.1	0.1	Iris-setosa	1	0	0
2	4.4	2.9	1.4	0.2	Iris-setosa	1	0	0
3	4.4	3.0	1.3	0.2	Iris-setosa	1	0	0
4	4.4	3.2	1.3	0.2	Iris-setosa	1	0	0
5	4.5	2.3	1.3	0.3	Iris-setosa	1	0	0
6	4.6	3.1	1.5	0.2	Iris-setosa	1	0	0
7	4.6	3.2	1.4	0.2	Iris-setosa	1	0	0
8	4.6	3.4	1.4	0.3	Iris-setosa	1	0	0
9	4.6	3.6	1.0	0.2	Iris-setosa	1	0	0
10	4.7	3.2	1.3	0.2	Iris-setosa	1	0	0
11	4.7	3.2	1.6	0.2	Iris-setosa	1	0	0
12	4.8	3.0	1.4	0.1	Iris-setosa	1	0	0
13	4.8	3.0	1.4	0.3	Iris-setosa	1	0	0
14	4.8	3.1	1.6	0.2	Iris-setosa	1	0	0
15	4.8	3.4	1.6	0.2	Iris-setosa	1	0	0
16	4.8	3.4	1.9	0.2	Iris-setosa	0.902857	0.0942857	0.00285714
17	4.9	2.4	3.3	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
18	4.9	2.5	4.5	1.7	Iris-virginica	0.0413508	0.917298	0.0413508
19	4.9	3.0	1.4	0.2	Iris-setosa	1	0	0
20	4.9	3.1	1.5	0.1	Iris-setosa	1	0	0
21	4.9	3.1	1.5	0.1	Iris-setosa	1	0	0
22	4.9	3.1	1.5	0.1	Iris-setosa	1	0	0
23	5.0	2.0	3.5	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
24	5.0	2.3	3.3	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
25	5.0	3.0	1.6	0.2	Iris-setosa	1	0	0
26	5.0	3.2	1.2	0.2	Iris-setosa	1	0	0
27	5.0	3.3	1.4	0.2	Iris-setosa	1	0	0
28	5.0	3.4	1.5	0.2	Iris-setosa	1	0	0
29	5.0	3.4	1.6	0.4	Iris-setosa	1	0	0
30	5.0	3.5	1.3	0.3	Iris-setosa	1	0	0
31	5.0	3.5	1.6	0.6	Iris-setosa	0.900658	0.0986842	0.000657895
32	5.0	3.6	1.4	0.2	Iris-setosa	1	0	0
33	5.1	2.5	3.0	1.1	Iris-versicolor	0.0170725	0.965855	0.0170725
34	5.1	3.3	1.7	0.5	Iris-setosa	1	0	0
35	5.1	3.4	1.5	0.2	Iris-setosa	1	0	0
36	5.1	3.5	1.4	0.2	Iris-setosa	1	0	0
37	5.1	3.5	1.4	0.3	Iris-setosa	1	0	0
38	5.1	3.7	1.5	0.4	Iris-setosa	1	0	0
39	5.1	3.8	1.5	0.3	Iris-setosa	1	0	0
40	5.1	3.8	1.6	0.2	Iris-setosa	1	0	0
41	5.1	3.8	1.9	0.4	Iris-setosa	0.902857	0.0942857	0.00285714
42	5.2	2.7	3.9	1.4	Iris-versicolor	0.0254606	0.949079	0.0254606
43	5.2	3.4	1.4	0.2	Iris-setosa	1	0	0
44	5.2	3.5	1.5	0.2	Iris-setosa	1	0	0
45	5.2	4.1	1.5	0.1	Iris-setosa	1	0	0
46	5.3	3.7	1.5	0.2	Iris-setosa	1	0	0
47	5.4	3.0	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527
48	5.4	3.4	1.5	0.4	Iris-setosa	1	0	0
49	5.4	3.4	1.7	0.2	Iris-setosa	1	0	0
50	5.4	3.7	1.5	0.2	Iris-setosa	1	0	0
51	5.4	3.9	1.3	0.4	Iris-setosa	1	0	0
52	5.4	3.9	1.7	0.4	Iris-setosa	1	0	0
53	5.5	2.3	4.0	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
54	5.5	2.4	3.7	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
55	5.5	2.4	3.8	1.1	Iris-versicolor	0.0170725	0.965855	0.0170725
56	5.5	2.5	4.0	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
57	5.5	2.6	4.4	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725
58	5.5	3.5	1.3	0.2	Iris-setosa	1	0	0
59	5.5	4.2	1.4	0.2	Iris-setosa	1	0	0
60	5.6	2.5	3.9	1.1	Iris-versicolor	0.0170725	0.965855	0.0170725
61	5.6	2.7	4.2	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
62	5.6	2.8	4.9	2.0	Iris-virginica	0.0539523	0.0539523	0.892095
63	5.6	2.9	3.6	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
64	5.6	3.0	4.1	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
65	5.6	3.0	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527
66	5.7	2.5	5.0	2.0	Iris-virginica	0.0539523	0.0539523	0.892095
67	5.7	2.6	3.5	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
68	5.7	2.8	4.1	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
69	5.7	2.8	4.5	1.3	Iris-versicolor	0.0253646	0.949271	0.0253646
70	5.7	2.9	4.2	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
71	5.7	3.0	4.2	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725
72	5.7	3.8	1.7	0.3	Iris-setosa	1	0	0
73	5.7	4.4	1.5	0.4	Iris-setosa	1	0	0
74	5.8	2.6	4.0	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725
75	5.8	2.7	3.9	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725
76	5.8	2.7	4.1	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
77	5.8	2.7	5.1	1.9	Iris-virginica	0.0274086	0.0274086	0.945183
78	5.8	2.7	5.1	1.9	Iris-virginica	0.0274086	0.0274086	0.945183
79	5.8	2.8	5.1	2.4	Iris-virginica	0.0274086	0.0274086	0.945183
80	5.8	4.0	1.2	0.2	Iris-setosa	1	0	0
81	5.9	3.0	4.2	1.5	Iris-versicolor	0.0254606	0.949079	0.0254606
82	5.9	3.0	5.1	1.8	Iris-virginica	0.0274086	0.0274086	0.945183
83	5.9	3.2	4.8	1.8	Iris-versicolor	0.0539523	0.0539523	0.892095
84	6.0	2.2	4.0	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725
85	6.0	2.2	5.0	1.5	Iris-virginica	0.108286	0.594016	0.297698
86	6.0	2.7	5.1	1.6	Iris-versicolor	0.0920498	0.554985	0.352965
87	6.0	2.9	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527
88	6.0	3.0	4.8	1.8	Iris-virginica	0.0539523	0.0539523	0.892095
89	6.0	3.4	4.5	1.6	Iris-versicolor	0.0413508	0.917298	0.0413508
90	6.1	2.6	5.6	1.4	Iris-virginica	0.0844517	0.570181	0.345367
91	6.1	2.8	4.0	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
92	6.1	2.8	4.7	1.2	Iris-versicolor	0.0253646	0.949271	0.0253646
93	6.1	2.9	4.7	1.4	Iris-versicolor	0.0337527	0.932495	0.0337527
94	6.1	3.0	4.6	1.4	Iris-versicolor	0.0337527	0.932495	0.0337527
95	6.1	3.0	4.9	1.8	Iris-virginica	0.0539523	0.0539523	0.892095
96	6.2	2.2	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527
97	6.2	2.8	4.8	1.8	Iris-virginica	0.0539523	0.0539523	0.892095
98	6.2	2.9	4.3	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725
99	6.2	3.4	5.4	2.3	Iris-virginica	0.0274086	0.0274086	0.945183
100	6.3	2.3	4.4	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725

Rows: 1-100 | Columns: 8

In [3]:

# You can also specify a pos_label
model.predict_proba(iris, 
                    X = ["PetalLengthCm", "PetalWidthCm"],
                    name = "iris_prob_setosa",
                    pos_label = "Iris-setosa")

Out[3]:

	123 SepalLengthCm Numeric(5,2)	123 SepalWidthCm Numeric(5,2)	123 PetalLengthCm Numeric(5,2)	123 PetalWidthCm Numeric(5,2)	Abc Species Varchar(30)	Abc iris_prediction_irissetosa Varchar(128)	Abc iris_prediction_irisversicolor Varchar(128)	Abc iris_prediction_irisvirginica Varchar(128)	Abc iris_prob_setosa Varchar(128)
1	4.3	3.0	1.1	0.1	Iris-setosa	1	0	0	1
2	4.4	2.9	1.4	0.2	Iris-setosa	1	0	0	1
3	4.4	3.0	1.3	0.2	Iris-setosa	1	0	0	1
4	4.4	3.2	1.3	0.2	Iris-setosa	1	0	0	1
5	4.5	2.3	1.3	0.3	Iris-setosa	1	0	0	1
6	4.6	3.1	1.5	0.2	Iris-setosa	1	0	0	1
7	4.6	3.2	1.4	0.2	Iris-setosa	1	0	0	1
8	4.6	3.4	1.4	0.3	Iris-setosa	1	0	0	1
9	4.6	3.6	1.0	0.2	Iris-setosa	1	0	0	1
10	4.7	3.2	1.3	0.2	Iris-setosa	1	0	0	1
11	4.7	3.2	1.6	0.2	Iris-setosa	1	0	0	1
12	4.8	3.0	1.4	0.1	Iris-setosa	1	0	0	1
13	4.8	3.0	1.4	0.3	Iris-setosa	1	0	0	1
14	4.8	3.1	1.6	0.2	Iris-setosa	1	0	0	1
15	4.8	3.4	1.6	0.2	Iris-setosa	1	0	0	1
16	4.8	3.4	1.9	0.2	Iris-setosa	0.902857	0.0942857	0.00285714	0.902857
17	4.9	2.4	3.3	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
18	4.9	2.5	4.5	1.7	Iris-virginica	0.0413508	0.917298	0.0413508	0.0413508
19	4.9	3.0	1.4	0.2	Iris-setosa	1	0	0	1
20	4.9	3.1	1.5	0.1	Iris-setosa	1	0	0	1
21	4.9	3.1	1.5	0.1	Iris-setosa	1	0	0	1
22	4.9	3.1	1.5	0.1	Iris-setosa	1	0	0	1
23	5.0	2.0	3.5	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
24	5.0	2.3	3.3	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
25	5.0	3.0	1.6	0.2	Iris-setosa	1	0	0	1
26	5.0	3.2	1.2	0.2	Iris-setosa	1	0	0	1
27	5.0	3.3	1.4	0.2	Iris-setosa	1	0	0	1
28	5.0	3.4	1.5	0.2	Iris-setosa	1	0	0	1
29	5.0	3.4	1.6	0.4	Iris-setosa	1	0	0	1
30	5.0	3.5	1.3	0.3	Iris-setosa	1	0	0	1
31	5.0	3.5	1.6	0.6	Iris-setosa	0.900658	0.0986842	0.000657895	0.900658
32	5.0	3.6	1.4	0.2	Iris-setosa	1	0	0	1
33	5.1	2.5	3.0	1.1	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
34	5.1	3.3	1.7	0.5	Iris-setosa	1	0	0	1
35	5.1	3.4	1.5	0.2	Iris-setosa	1	0	0	1
36	5.1	3.5	1.4	0.2	Iris-setosa	1	0	0	1
37	5.1	3.5	1.4	0.3	Iris-setosa	1	0	0	1
38	5.1	3.7	1.5	0.4	Iris-setosa	1	0	0	1
39	5.1	3.8	1.5	0.3	Iris-setosa	1	0	0	1
40	5.1	3.8	1.6	0.2	Iris-setosa	1	0	0	1
41	5.1	3.8	1.9	0.4	Iris-setosa	0.902857	0.0942857	0.00285714	0.902857
42	5.2	2.7	3.9	1.4	Iris-versicolor	0.0254606	0.949079	0.0254606	0.0254606
43	5.2	3.4	1.4	0.2	Iris-setosa	1	0	0	1
44	5.2	3.5	1.5	0.2	Iris-setosa	1	0	0	1
45	5.2	4.1	1.5	0.1	Iris-setosa	1	0	0	1
46	5.3	3.7	1.5	0.2	Iris-setosa	1	0	0	1
47	5.4	3.0	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527	0.0337527
48	5.4	3.4	1.5	0.4	Iris-setosa	1	0	0	1
49	5.4	3.4	1.7	0.2	Iris-setosa	1	0	0	1
50	5.4	3.7	1.5	0.2	Iris-setosa	1	0	0	1
51	5.4	3.9	1.3	0.4	Iris-setosa	1	0	0	1
52	5.4	3.9	1.7	0.4	Iris-setosa	1	0	0	1
53	5.5	2.3	4.0	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
54	5.5	2.4	3.7	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
55	5.5	2.4	3.8	1.1	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
56	5.5	2.5	4.0	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
57	5.5	2.6	4.4	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
58	5.5	3.5	1.3	0.2	Iris-setosa	1	0	0	1
59	5.5	4.2	1.4	0.2	Iris-setosa	1	0	0	1
60	5.6	2.5	3.9	1.1	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
61	5.6	2.7	4.2	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
62	5.6	2.8	4.9	2.0	Iris-virginica	0.0539523	0.0539523	0.892095	0.0539523
63	5.6	2.9	3.6	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
64	5.6	3.0	4.1	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
65	5.6	3.0	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527	0.0337527
66	5.7	2.5	5.0	2.0	Iris-virginica	0.0539523	0.0539523	0.892095	0.0539523
67	5.7	2.6	3.5	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
68	5.7	2.8	4.1	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
69	5.7	2.8	4.5	1.3	Iris-versicolor	0.0253646	0.949271	0.0253646	0.0253646
70	5.7	2.9	4.2	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
71	5.7	3.0	4.2	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
72	5.7	3.8	1.7	0.3	Iris-setosa	1	0	0	1
73	5.7	4.4	1.5	0.4	Iris-setosa	1	0	0	1
74	5.8	2.6	4.0	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
75	5.8	2.7	3.9	1.2	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
76	5.8	2.7	4.1	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
77	5.8	2.7	5.1	1.9	Iris-virginica	0.0274086	0.0274086	0.945183	0.0274086
78	5.8	2.7	5.1	1.9	Iris-virginica	0.0274086	0.0274086	0.945183	0.0274086
79	5.8	2.8	5.1	2.4	Iris-virginica	0.0274086	0.0274086	0.945183	0.0274086
80	5.8	4.0	1.2	0.2	Iris-setosa	1	0	0	1
81	5.9	3.0	4.2	1.5	Iris-versicolor	0.0254606	0.949079	0.0254606	0.0254606
82	5.9	3.0	5.1	1.8	Iris-virginica	0.0274086	0.0274086	0.945183	0.0274086
83	5.9	3.2	4.8	1.8	Iris-versicolor	0.0539523	0.0539523	0.892095	0.0539523
84	6.0	2.2	4.0	1.0	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
85	6.0	2.2	5.0	1.5	Iris-virginica	0.108286	0.594016	0.297698	0.108286
86	6.0	2.7	5.1	1.6	Iris-versicolor	0.0920498	0.554985	0.352965	0.0920498
87	6.0	2.9	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527	0.0337527
88	6.0	3.0	4.8	1.8	Iris-virginica	0.0539523	0.0539523	0.892095	0.0539523
89	6.0	3.4	4.5	1.6	Iris-versicolor	0.0413508	0.917298	0.0413508	0.0413508
90	6.1	2.6	5.6	1.4	Iris-virginica	0.0844517	0.570181	0.345367	0.0844517
91	6.1	2.8	4.0	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
92	6.1	2.8	4.7	1.2	Iris-versicolor	0.0253646	0.949271	0.0253646	0.0253646
93	6.1	2.9	4.7	1.4	Iris-versicolor	0.0337527	0.932495	0.0337527	0.0337527
94	6.1	3.0	4.6	1.4	Iris-versicolor	0.0337527	0.932495	0.0337527	0.0337527
95	6.1	3.0	4.9	1.8	Iris-virginica	0.0539523	0.0539523	0.892095	0.0539523
96	6.2	2.2	4.5	1.5	Iris-versicolor	0.0337527	0.932495	0.0337527	0.0337527
97	6.2	2.8	4.8	1.8	Iris-virginica	0.0539523	0.0539523	0.892095	0.0539523
98	6.2	2.9	4.3	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725
99	6.2	3.4	5.4	2.3	Iris-virginica	0.0274086	0.0274086	0.945183	0.0274086
100	6.3	2.3	4.4	1.3	Iris-versicolor	0.0170725	0.965855	0.0170725	0.0170725

Rows: 1-100 | Columns: 9