训练基本的SVM,不产生任何预测

时间:2018-12-08 15:31:58

标签: r

我现在正在尝试仅通过一个预测变量来训练SVM模型做出一些预测。

查看预测时,我得到了所有0个信息。

这是什么原因?为什么模型没有决定要做出决定?是因为只有一个预测变量?

我想知道我的代码是否有问题。

SVM模型:

library(dplyr)
library(e1071)
train_date <- nrow(data) *0.8

train_date <- data %>%
  slice(train_date) %>%
  select(date) %>%
  pull()


train <- data %>%
  filter(date < ymd(train_date))

test <- data %>%
  filter(date >= ymd(train_date))

########################################################

svm_model <- 
  svm(y ~ x, data = train, type = "C-classification", 
      kernel = "polynomial", degree = 2)

svm_model
#measure training and test accuracy
pred_train <- predict(svm_model, train)
mean(pred_train == train$y)
pred_test <- predict(svm_model, test)
mean(pred_test == test$y)

x <- as.data.frame(pred_test)

数据:

data <- structure(list(date = structure(c(17375, 17378, 17379, 17380, 
17381, 17382, 17385, 17386, 17387, 17388, 17389, 17392, 17393, 
17394, 17395, 17396, 17399, 17400, 17401, 17402, 17403, 17406, 
17407, 17408, 17409, 17410, 17414, 17415, 17416, 17417, 17420, 
17421, 17422, 17423, 17424, 17427, 17428, 17429, 17430, 17431, 
17434, 17435, 17436, 17437, 17438, 17441, 17442, 17443, 17444, 
17445, 17448, 17449, 17450, 17451, 17452, 17455, 17456, 17457, 
17458, 17459, 17462, 17463, 17464, 17465, 17466, 17469, 17470, 
17471, 17472, 17473, 17476, 17477, 17478, 17479, 17480, 17483, 
17484, 17485, 17486, 17487, 17490, 17491, 17492, 17494, 17497, 
17498, 17499, 17500, 17501, 17504, 17505, 17506, 17507, 17508, 
17511, 17512, 17513, 17514, 17515, 17518, 17519, 17520, 17521, 
17522, 17526, 17527, 17528, 17529, 17533, 17534, 17535, 17536, 
17539, 17540, 17541, 17542, 17543, 17547, 17548, 17549, 17550, 
17553, 17554, 17555, 17556, 17557, 17560, 17561, 17562, 17563, 
17564, 17567, 17568, 17569, 17570, 17571, 17574, 17575, 17576, 
17577, 17578, 17582, 17583, 17584, 17585, 17588, 17589, 17590, 
17591, 17592, 17595, 17596, 17597, 17598, 17599, 17602, 17603, 
17604, 17605, 17606, 17609, 17610, 17611, 17612, 17613, 17616, 
17617, 17618, 17619, 17623, 17624, 17625, 17626, 17627, 17630, 
17631, 17632, 17633, 17634, 17637, 17638, 17639, 17640, 17641, 
17644, 17645, 17646, 17647, 17648, 17651, 17652, 17653, 17654, 
17655, 17658, 17659, 17660, 17661, 17662, 17665, 17666, 17667, 
17668, 17669, 17672, 17673, 17674, 17675, 17676, 17680, 17681, 
17682, 17683, 17686, 17687, 17688, 17689, 17690, 17693, 17694, 
17695, 17696, 17697, 17700, 17701, 17702, 17703, 17704, 17707, 
17708, 17709, 17710, 17711, 17714, 17715, 17717, 17718, 17721, 
17722, 17723, 17724, 17725, 17728, 17729, 17730, 17731, 17732, 
17735, 17736, 17737, 17738, 17739, 17742, 17743, 17744, 17745, 
17746, 17749, 17750, 17751, 17752, 17753, 17756, 17757, 17758, 
17759, 17760, 17763, 17764, 17765, 17766, 17767, 17770, 17771, 
17772, 17773, 17774, 17778, 17779, 17780, 17781, 17784, 17785, 
17786, 17787, 17788, 17791, 17792, 17793, 17794, 17795, 17798, 
17799, 17800, 17801, 17802, 17805, 17806, 17807, 17808, 17809, 
17812, 17813, 17814, 17815, 17816, 17819, 17820, 17821, 17822, 
17823, 17826, 17827, 17828, 17829, 17830, 17833, 17834, 17835, 
17836, 17837, 17840, 17841, 17842, 17843, 17844, 17847, 17848, 
17849, 17850, 17851, 17854, 17855, 17856, 17858, 17861, 17862, 
17863, 17864, 17865), class = "Date"), y = c(0, 1, 1, 0, 1, 0, 
0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 
1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 
0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 
0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 
0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 
0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 
0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 
0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 
1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 
1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 
1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 
0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 
0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 
1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 
1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 
1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0), x = c(55.4941894407854, 
50.1632187721403, 44.2057435629332, 42.3277780878597, 34.916071046742, 
38.3146934968324, 31.6795222837921, 26.8964608058531, 26.5762418841725, 
19.4454931404427, 19.2426086807444, 33.6749929164219, 34.664251589656, 
45.2102647300278, 31.5897223352515, 36.2768164306463, 34.0840071047493, 
46.9525192134939, 51.8801058990984, 46.3093986201844, 42.8722859382365, 
43.0957642799655, 49.175098084696, 62.3766664464771, 63.434587161957, 
58.4768395755699, 53.2799994541443, 50.4676873087737, 65.036737044046, 
58.5873924866939, 62.3539876687387, 54.8745033541646, 55.2938209354096, 
52.3738367508463, 52.7465383120286, 50.7142001647387, 50.3146292014814, 
51.194583971026, 45.4279672713402, 44.2918322359654, 45.068547928843, 
48.135031282721, 54.7140455891114, 63.3503388014154, 66.1156673174906, 
61.0393644854218, 61.638611076124, 64.1858085150276, 73.1864682789322, 
78.8442513456682, 76.0748344982738, 70.4160617369582, 74.4321939715647, 
76.0682095017227, 81.8013716675612, 81.5329893185474, 77.4049144059356, 
76.2072058576538, 65.5689633500972, 72.0267383603007, 55.6390349896244, 
60.4198811003328, 52.2463634887349, 45.2655097258959, 68.9263022050927, 
70.3371957548591, 64.6863349631492, 68.7059200902, 68.1459609632161, 
69.5555458937198, 65.3412385589247, 67.360752439441, 74.1163158004527, 
67.9866489434534, 78.9024435671165, 76.7050678391648, 76.1182375524639, 
72.9909746088876, 59.4459498647349, 51.2180399554398, 51.0672179692865, 
55.0636478144878, 55.756441335519, 54.6240547411303, 64.9109643846478, 
57.4655825824172, 41.988898103196, 45.3179785535323, 42.0964437376148, 
38.9428915240427, 41.8953683621125, 49.0751009808747, 49.4300638103628, 
56.8843996184545, 58.4915483608461, 52.531910623186, 51.9880401490032, 
53.5336152483392, 54.0807930604593, 61.574386151279, 72.457440540451, 
68.9931756970495, 75.5300930523276, 81.7617764691854, 77.5499100672939, 
67.6540858107567, 61.2557041074963, 56.4867362400937, 63.7959042668185, 
70.2937801052188, 71.3433532375276, 73.1668927753785, 70.5075349624449, 
65.8329958581158, 67.908000976737, 73.4971310903119, 78.8108475293617, 
81.2133364284694, 85.6317997241784, 90.0499104679312, 91.8047462184197, 
94.3135627996697, 94.1014109220364, 88.1130842668442, 88.3530558178883, 
87.1355956107725, 86.2561623445798, 77.1228859956622, 81.0362538530292, 
78.8404654349793, 46.4728298378735, 33.7103494024937, 38.1634534707235, 
33.5520386736078, 26.2429467891094, 30.5979953728327, 30.5979953728327, 
31.2223518673486, 33.7665461425831, 36.6962580582319, 37.7398082531122, 
40.5860776927095, 41.0627097257687, 40.7556533339627, 52.526559398101, 
67.2093345204357, 57.3558861837519, 61.809628052695, 65.0522479908148, 
60.3356537763659, 59.9025026642582, 60.6951031882524, 60.0950548232381, 
59.3846485649388, 64.6199416069941, 64.1051430716001, 55.6515339908006, 
58.7835089189351, 55.0890845598537, 48.1838706704649, 46.0064642542491, 
48.4030879681908, 55.5793562399467, 43.3339041496164, 35.5089178322478, 
42.157901440901, 32.5975281088021, 28.6602735068277, 26.9110067493817, 
23.5372731683978, 27.6575715257538, 27.7636741048428, 28.4241344813052, 
27.7437779358905, 33.8748748481366, 38.0173561927228, 37.3614293051309, 
46.7027642395441, 51.6960358269122, 46.2684476430283, 67.9712504992444, 
67.4307596718059, 65.3539239654913, 69.3859268680975, 65.8884694613497, 
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46.4319595892114, 54.1515204375632, 48.0571628692748, 48.6571396623733, 
52.2995925118996, 44.9774509790143, 45.2591195805464, 48.7943143049565, 
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63.2031704734223, 66.0494138822722, 66.2641524590373, 64.6800962380417, 
66.0941051628946, 68.6330617447997, 62.298871330898, 58.4734193157287, 
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0 个答案:

没有答案