我有如下数据集：
data = [[92, 155],
[56, 186, 117, 210, 224],
[247, 202, 189, 210, 65, 3, 270, 224],
[20, 14, 157, 224],
[17, 89, 158, 224],
[263, 283, 68, 224],
[182, 166, 224],
[176, 37, 100, 224],
[33, 102, 41, 269, 177, 224],
[0, 260, 49, 207, 278, 217, 35],
[119],
[118],
[142, 185, 7, 246, 224],
[104, 22, 101, 224],
[84, 205, 224],
[225, 93, 54, 224],
[98, 32, 78, 224],
[159, 217, 212, 198, 224],
[178, 94, 187, 224],
[211, 149, 193, 149, 66, 139, 67, 28, 106, 224],
[133, 151],
[259, 109, 29, 224],
[215, 241, 73, 255, 77, 144, 224],
[36, 254, 19, 268, 183, 224],
[47, 234, 203, 111, 231, 141, 30],
[127, 275, 220, 161],
[214, 267, 22, 90, 224],
[46, 217, 103],
[17, 89, 128, 224],
[225, 22, 101, 224],
[285, 265, 151],
[215, 206, 264, 43, 224],
[244, 21, 224],
[82, 122, 240, 5, 224],
[259, 136, 162, 194, 224],
[176, 208, 112, 224],
[172, 19, 146, 276, 31, 246, 51, 224],
[45, 10],
[229, 24, 224],
[143, 108, 239, 224],
[225, 282, 83, 224],
[110, 267, 171],
[176, 245, 95, 123, 270, 224],
[248, 195, 139, 261, 173, 281, 232, 80, 18, 224],
[61, 60, 233],
[211, 120, 1, 23],
[225, 267, 249, 224],
[247, 202, 86, 196, 224],
[15, 127, 222, 224],
[247, 202, 186, 226, 145, 224],
[174, 242, 196, 224],
[259, 152, 71, 224],
[235, 44, 230, 224],
[69, 96, 50, 99, 116],
[259, 279, 224],
[228, 70],
[39, 139, 201, 190, 224],
[132, 40, 219, 81, 224],
[159, 221, 224],
[267, 16, 6, 62],
[143, 59, 175, 129, 48, 224],
[280, 140, 224],
[284, 124, 167, 150, 274],
[113, 265, 184],
[179, 4, 257, 145, 224],
[247, 202, 72, 11, 224],
[64],
[192, 125, 105],
[174, 134, 224],
[58, 139, 85, 160, 209, 224],
[130, 169, 137, 256, 224],
[215, 163, 265, 185, 26],
[176, 147, 74, 224],
[0, 266],
[143, 34, 153, 188, 224],
[121],
[243, 75, 135],
[38, 218, 199, 253, 224],
[178, 271, 224],
[154, 164, 180, 27, 270, 224],
[176, 189, 148, 139, 277, 224],
[57, 62],
[91, 168, 251, 224],
[172, 19, 146, 276, 53, 97, 200, 224],
[64],
[8, 237, 224],
[138, 107, 224],
[176, 238, 224],
[204, 217, 63, 165, 224],
[215, 216, 272, 62, 170, 2, 55, 224],
[247, 273, 202, 223, 9, 148, 224],
[258, 267, 181, 224],
[262, 76, 126, 12, 224],
[36, 254, 19, 268, 250, 213, 48, 224],
[227, 42],
[79, 197, 52, 87, 224],
[143, 131, 224],
[156, 88, 115, 236, 224],
[259, 13, 252, 224],
[114, 25, 191, 224]]
target = [9,
31,
20,
9,
3,
26,
16,
11,
28,
0,
9,
9,
9,
9,
7,
1,
33,
9,
13,
15,
9,
21,
9,
34,
9,
9,
9,
9,
3,
1,
9,
27,
14,
22,
21,
11,
17,
9,
6,
8,
1,
9,
11,
9,
9,
9,
1,
20,
29,
20,
23,
21,
9,
9,
21,
9,
18,
9,
9,
30,
8,
9,
9,
9,
9,
20,
9,
32,
23,
9,
24,
9,
11,
9,
8,
9,
9,
9,
13,
10,
11,
9,
12,
17,
9,
5,
9,
11,
9,
2,
20,
9,
25,
34,
9,
9,
8,
4,
21,
19]
我希望通过使用朴素贝叶斯或任何其他可用的BEST算法进行分类。但是，在使用朴素贝叶斯时，出现如下错误：
from sklearn.naive_bayes import MultinomialNB
mnb = MultinomialNB(class_prior=[.25,.75])
mnb.fit(data, target)
Errros：
ValueError: Expected 2D array, got 1D array instead:
array=[list([92, 155]) list([56, 186, 117, 210, 224])
list([247, 202, 189, 210, 65, 3, 270, 224]) list([20, 14, 157, 224])
list([17, 89, 158, 224]) list([263, 283, 68, 224]) list([182, 166, 224])
list([176, 37, 100, 224]) list([33, 102, 41, 269, 177, 224])
list([0, 260, 49, 207, 278, 217, 35]) list([119]) list([118])
list([142, 185, 7, 246, 224]) list([104, 22, 101, 224])
list([84, 205, 224]) list([225, 93, 54, 224]) list([98, 32, 78, 224])
list([159, 217, 212, 198, 224]) list([178, 94, 187, 224])
list([211, 149, 193, 149, 66, 139, 67, 28, 106, 224]) list([133, 151])
list([259, 109, 29, 224]) list([215, 241, 73, 255, 77, 144, 224])
list([36, 254, 19, 268, 183, 224])
list([47, 234, 203, 111, 231, 141, 30]) list([127, 275, 220, 161])
list([214, 267, 22, 90, 224]) list([46, 217, 103])
list([17, 89, 128, 224]) list([225, 22, 101, 224]) list([285, 265, 151])
list([215, 206, 264, 43, 224]) list([244, 21, 224])
list([82, 122, 240, 5, 224]) list([259, 136, 162, 194, 224])
list([176, 208, 112, 224]) list([172, 19, 146, 276, 31, 246, 51, 224])
list([45, 10]) list([229, 24, 224]) list([143, 108, 239, 224])
list([225, 282, 83, 224]) list([110, 267, 171])
list([176, 245, 95, 123, 270, 224])
list([248, 195, 139, 261, 173, 281, 232, 80, 18, 224])
list([61, 60, 233]) list([211, 120, 1, 23]) list([225, 267, 249, 224])
list([247, 202, 86, 196, 224]) list([15, 127, 222, 224])
list([247, 202, 186, 226, 145, 224]) list([174, 242, 196, 224])
list([259, 152, 71, 224]) list([235, 44, 230, 224])
list([69, 96, 50, 99, 116]) list([259, 279, 224]) list([228, 70])
list([39, 139, 201, 190, 224]) list([132, 40, 219, 81, 224])
list([159, 221, 224]) list([267, 16, 6, 62])
list([143, 59, 175, 129, 48, 224]) list([280, 140, 224])
list([284, 124, 167, 150, 274]) list([113, 265, 184])
list([179, 4, 257, 145, 224]) list([247, 202, 72, 11, 224]) list([64])
list([192, 125, 105]) list([174, 134, 224])
list([58, 139, 85, 160, 209, 224]) list([130, 169, 137, 256, 224])
list([215, 163, 265, 185, 26]) list([176, 147, 74, 224]) list([0, 266])
list([143, 34, 153, 188, 224]) list([121]) list([243, 75, 135])
list([38, 218, 199, 253, 224]) list([178, 271, 224])
list([154, 164, 180, 27, 270, 224]) list([176, 189, 148, 139, 277, 224])
list([57, 62]) list([91, 168, 251, 224])
list([172, 19, 146, 276, 53, 97, 200, 224]) list([64])
list([8, 237, 224]) list([138, 107, 224]) list([176, 238, 224])
list([204, 217, 63, 165, 224]) list([215, 216, 272, 62, 170, 2, 55, 224])
list([247, 273, 202, 223, 9, 148, 224]) list([258, 267, 181, 224])
list([262, 76, 126, 12, 224]) list([36, 254, 19, 268, 250, 213, 48, 224])
list([227, 42]) list([79, 197, 52, 87, 224]) list([143, 131, 224])
list([156, 88, 115, 236, 224]) list([259, 13, 252, 224])
list([114, 25, 191, 224])].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
[任何人都可以帮助我吗？或者有人可以给我展示其他一些用于机器学习的最佳算法示例，例如决策树，svm或其他任何东西。
因此，为什么会出现错误的直接答案是要传递一个列表数组作为参数。因此，Sklearn认为您正在传递一维列表列表。无法将data转换为2D矩阵，因为列表中的值数量不一致。
根据我的理解（可能是错误的），输入要素矩阵的每一行都必须具有相同数量的数字。如果满足此要求，那么您应该可以将数据毫无问题地馈送到MultinomialNB。