插入符号错误:“缺少所有准确度指标值" [英] Caret error: "all the Accuracy metric values are missing"
问题描述
我收到以下错误，我不知道可能出了什么问题.我将 R Studio 与适用于 Windows 8.1 的 3.1.3 版 R 一起使用，并使用 Caret 包进行数据挖掘.
I'm getting the following error and I don't know what may have gone wrong. I'm using R Studio with the 3.1.3 version of R for Windows 8.1 and using the Caret package for datamining.
我有以下训练数据:
str(training)
'data.frame': 212300 obs. of 21 variables:
$ FL_DATE_MDD_MMDD : int 101 101 101 101 101 101 101 101 101 101 ...
$ FL_DATE : int 1012013 1012013 1012013 1012013 1012013 1012013 1012013 1012013 1012013 1012013 ...
$ UNIQUE_CARRIER : Factor w/ 13 levels "9E","AA","AS",..: 11 10 2 5 8 9 11 10 10 10 ...
$ DEST : Factor w/ 150 levels "ABE","ABQ","ALB",..: 111 70 82 8 8 31 110 44 53 80 ...
$ DEST_CITY_NAME : Factor w/ 148 levels "Akron, OH","Albany, NY",..: 107 61 96 9 9 29 106 36 97 78 ...
$ ROUNDED_TIME : int 451 451 551 551 551 551 551 551 551 551 ...
$ CRS_DEP_TIME : int 500 520 600 600 600 600 600 600 602 607 ...
$ DEP_DEL15 : Factor w/ 2 levels "0","1": 1 2 1 1 1 1 1 2 1 1 ...
$ CRS_ARR_TIME : int 746 813 905 903 855 815 901 744 901 841 ...
$ Conditions : Factor w/ 28 levels "Blowing Snow",..: 2 2 2 2 2 2 2 2 2 2 ...
$ Dew.PointC : num -14.4 -14.4 -14.4 -14.4 -14.4 -14.4 -14.4 -14.4 -14.4 -14.4 ...
$ Events : Factor w/ 10 levels "","Fog","Fog-Rain",..: 1 1 1 1 1 1 1 1 1 1 ...
$ Gust.SpeedKm.h : num NA NA NA NA NA NA NA NA NA NA ...
$ Humidity : int 68 68 71 71 71 71 71 71 71 71 ...
$ Precipitationmm : num NA NA NA NA NA NA NA NA NA NA ...
$ Sea.Level.PressurehPa: num 1021 1021 1022 1022 1022 ...
$ TemperatureC : num -9.4 -9.4 -10 -10 -10 -10 -10 -10 -10 -10 ...
$ VisibilityKm : num 16.1 16.1 16.1 16.1 16.1 16.1 16.1 16.1 16.1 16.1 ...
$ Wind.Direction : Factor w/ 18 levels "Calm","East",..: 9 9 7 7 7 7 7 7 7 7 ...
$ WindDirDegrees : int 320 320 330 330 330 330 330 330 330 330 ...
$ Wind.SpeedKm.h : num 20.4 20.4 13 13 13 13 13 13 13 13 ...
- attr(*, "na.action")=Class 'omit' Named int [1:22539] 3 32 45 87 94 325 472 548 949 1333 ...
.. ..- attr(*, "names")= chr [1:22539] "3" "32" "45" "87" ...
当我执行以下命令时:
ldaModel <- train(DEP_DEL15~.,data=training,method="lda",preProc=c("center","scale"),na.remove=TRUE)
我明白了:
出了点问题；缺少所有准确度指标值:准确度 Kappa
最小.: NA 分钟.:不适用
第一区:NA 第一区:NA
中位数:NA 中位数:NA
均值 :NaN 均值 :NaN
第三区:NA 第三区:NA
最大限度.: 不适用:不适用
不适用:1 不适用:1
train.default(x, y, weights = w, ...) 中的错误:停止
Something is wrong; all the Accuracy metric values are missing: Accuracy Kappa
Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA
Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA
NA's :1 NA's :1
Error in train.default(x, y, weights = w, ...) : Stopping
推荐答案
这可能是因为结果因子水平为0"和1".
It is probably due to having about outcome factor with levels "0" and "1".
发生这种情况时会发出特定警告:至少一个类级别不是有效的 R 变量名称；如果生成类概率，这可能会导致错误，因为变量名称将转换为:X0, X1"
There is a specific warning issued when this happens: At least one of the class levels are not valid R variables names; This may cause errors if class probabilities are generated because the variables names will be converted to: X0, X1"
似乎人们一致忽略警告，所以我打算在下一个版本中抛出一个错误.
It seems that people uniformly ignore warnings so I'm going to make this throw an error in the next version.
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