我有挑战，需要帮助。我正在做我的第一个数据科学项目，建立模型时会引起挑战。正在跟进有关edureka（https://www.edureka.co/blog/data-science-projects/）的教程，该错误可能出自
set.seed(30162)
trnctrl <- trainControl(method="cv", number=10)
boostfit <- train(incomelevel ~ age + educationnum + relationship + workclass +
occupation + relationship + maritalstatus +
hoursperweek + capitalgain + capitalloss +
race + nativecountry,
trcontrol = trnctrl,
method="gbm",
data=trainset,
verbose=FALSE)
我检查了收入水平变量中是否缺少任何值：
table(complete.cases(trainset$incomelevel))
TRUE
31978
错误：
Error in na.fail.default(list(incomelevel = c(1L, 1L, 1L, 1L, 1L, 1L, : missing values in object
``
瞥见（火车）
Observations: 31,978
Variables: 14
$ age <int> 39, 50, 38, 53, 28, 37, 49, 52, 31, 42, 37, 30, 23, 32, 34, 25, 32, 38, 43, 40, 54, 35, 43, 59,...
$ workclass <fct> State-gov, Self-emp-not-inc, Private, Private, Private, Private, Private, Self-emp-not-inc, Pri...
$ education <fct> Bachelors, Bachelors, HS-grad, 11th, Bachelors, Masters, 9th, HS-grad, Masters, Bachelors, Some...
$ educationnum <int> 13, 13, 9, 7, 13, 14, 5, 9, 14, 13, 10, 13, 13, 12, 4, 9, 9, 7, 14, 16, 9, 5, 7, 9, 13, 9, 10, ...
$ maritalstatus <fct> Never-married, Married-civ-spouse, Divorced, Married-civ-spouse, Married-civ-spouse, Married-ci...
$ occupation <fct> Adm-clerical, Exec-managerial, Handlers-cleaners, Handlers-cleaners, Prof-specialty, Exec-manag...
$ relationship <fct> Not-in-family, Husband, Not-in-family, Husband, Wife, Wife, Not-in-family, Husband, Not-in-fami...
$ race <fct> White, White, White, Black, Black, White, Black, White, White, White, Black, Asian-Pac-Islander...
$ sex <fct> Male, Male, Male, Male, Female, Female, Female, Male, Female, Male, Male, Male, Female, Male, M...
$ capitalgain <int> 2174, 0, 0, 0, 0, 0, 0, 0, 14084, 5178, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
$ capitalloss <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2042, 0, 0, 0, 0, 0, 0, 0, 0,...
$ hoursperweek <int> 40, 13, 40, 40, 40, 40, 16, 45, 50, 40, 80, 40, 30, 50, 45, 35, 40, 50, 45, 60, 20, 40, 40, 40,...
$ nativecountry <fct> United-States, United-States, United-States, United-States, Cuba, United-States, Jamaica, Unite...
$ incomelevel <fct> <=50K, <=50K, <=50K, <=50K, <=50K, <=50K, <=50K, >50K, >50K, >50K, >50K, >50K, <=50K, <=50K, <=...
再次看这个问题，我认为数据需要再进行一些预处理。需要做的是One-Hot-Encoding。查看错误消息后，它声称incomelevel没有整数值。由于您只显示了一小段数据，所以我们可以看到的是
incomelevel <fct> <=50K, >50K, ...
这使我认为<=和>符号也弄乱了事情。如上所述，您的模型需要整数。尝试编写少量代码将incomelevel <=50K, >50K, ...转换为
| Row No. | <=50K | >50K | more(?) |
| ------: |-----: |----: |-------: |
| 1 | 0 | 1 | 0 |
etc...
然后将新表追加到您的数据并删除income。
看来，如果发现问题，您可能需要考虑所有因素。
恕我直言，最好将字符串数据转换为仅0,1的整数。