Description Usage Arguments Details Value Author(s) References See Also Examples
These functions can be used for a single train
object or to loop through a number of train
objects to calculate the
training and test data predictions and class probabilities.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## S3 method for class 'list'
predict(object, ...)
## S3 method for class 'train'
predict(object, newdata = NULL, type = "raw", na.action = na.omit, ...)
extractPrediction(models,
testX = NULL, testY = NULL,
unkX = NULL,
unkOnly = !is.null(unkX) & is.null(testX),
verbose = FALSE)
extractProb(models,
testX = NULL, testY = NULL,
unkX = NULL,
unkOnly = !is.null(unkX) & is.null(testX),
verbose = FALSE)
|
object |
For |
newdata |
an optional set of data to predict on. If |
type |
either "raw" or "prob", for the number/class predictions or class probabilities, respectively. Class probabilities are not available for all classification models |
models |
a list of objects of the class |
na.action |
the method for handling missing data |
testX |
an optional set of data to predict |
testY |
an optional outcome corresponding to the data given in |
unkX |
another optional set of data to predict without known outcomes |
unkOnly |
a logical to bypass training and test set predictions. This is useful if speed is needed for unknown samples. |
verbose |
a logical for printing messages |
... |
additional arguments to be passed to other methods |
These functions are wrappers for the specific prediction functions in each modeling package. In each case, the optimal tuning values given in the tuneValue
slot of the finalModel
object are used to predict.
To get simple predictions for a new data set, the predict
function can be used. Limits can be imposed on the range of predictions. See trainControl
for more information.
To get predictions for a series of models at once, a list of train
objects can be passes to the predict
function and a list of model predictions will be returned.
The two extraction functions can be used to get the predictions and observed outcomes at once for the training, test and/or unknown samples at once in a single data frame (instead of a list of just the predictions). These objects can then be passes to plotObsVsPred
or plotClassProbs
.
For predict.train
, a vector of predictions if type = "raw"
or a data frame of class probabilities for type = "probs"
. In the latter case, there are columns for each class.
For predict.list
, a list results. Each element is produced by predict.train
.
For extractPrediction
, a data frame with columns:
obs |
the observed training and test data |
pred |
predicted values |
model |
the type of model used to predict |
object |
the names of the objects within |
dataType |
"Training", "Test" or "Unknown" depending on what was specified |
For extractProb
, a data frame. There is a column for each class
containing the probabilities. The remaining columns are the same as
above (although the pred
column is the predicted class)
Max Kuhn
Kuhn (2008), “Building Predictive Models in R Using the caret” (http://www.jstatsoft.org/v28/i05/)
plotObsVsPred
, plotClassProbs
, trainControl
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## Not run:
knnFit <- train(Species ~ ., data = iris, method = "knn",
trControl = trainControl(method = "cv"))
rdaFit <- train(Species ~ ., data = iris, method = "rda",
trControl = trainControl(method = "cv"))
predict(knnFit)
predict(knnFit, type = "prob")
bothModels <- list(knn = knnFit,
tree = rdaFit)
predict(bothModels)
extractPrediction(bothModels, testX = iris[1:10, -5])
extractProb(bothModels, testX = iris[1:10, -5])
## End(Not run)
|
Loading required package: lattice
Loading required package: ggplot2
Loading required package: klaR
Loading required package: MASS
[1] setosa setosa setosa setosa setosa setosa
[7] setosa setosa setosa setosa setosa setosa
[13] setosa setosa setosa setosa setosa setosa
[19] setosa setosa setosa setosa setosa setosa
[25] setosa setosa setosa setosa setosa setosa
[31] setosa setosa setosa setosa setosa setosa
[37] setosa setosa setosa setosa setosa setosa
[43] setosa setosa setosa setosa setosa setosa
[49] setosa setosa versicolor versicolor versicolor versicolor
[55] versicolor versicolor versicolor versicolor versicolor versicolor
[61] versicolor versicolor versicolor versicolor versicolor versicolor
[67] versicolor versicolor versicolor versicolor versicolor versicolor
[73] virginica versicolor versicolor versicolor versicolor versicolor
[79] versicolor versicolor versicolor versicolor versicolor virginica
[85] versicolor versicolor versicolor versicolor versicolor versicolor
[91] versicolor versicolor versicolor versicolor versicolor versicolor
[97] versicolor versicolor versicolor versicolor virginica virginica
[103] virginica virginica virginica virginica versicolor virginica
[109] virginica virginica virginica virginica virginica virginica
[115] virginica virginica virginica virginica virginica virginica
[121] virginica virginica virginica virginica virginica virginica
[127] virginica virginica virginica virginica virginica virginica
[133] virginica virginica virginica virginica virginica virginica
[139] virginica virginica virginica virginica virginica virginica
[145] virginica virginica virginica virginica virginica virginica
Levels: setosa versicolor virginica
setosa versicolor virginica
1 1 0.0000000 0.00000000
2 1 0.0000000 0.00000000
3 1 0.0000000 0.00000000
4 1 0.0000000 0.00000000
5 1 0.0000000 0.00000000
6 1 0.0000000 0.00000000
7 1 0.0000000 0.00000000
8 1 0.0000000 0.00000000
9 1 0.0000000 0.00000000
10 1 0.0000000 0.00000000
11 1 0.0000000 0.00000000
12 1 0.0000000 0.00000000
13 1 0.0000000 0.00000000
14 1 0.0000000 0.00000000
15 1 0.0000000 0.00000000
16 1 0.0000000 0.00000000
17 1 0.0000000 0.00000000
18 1 0.0000000 0.00000000
19 1 0.0000000 0.00000000
20 1 0.0000000 0.00000000
21 1 0.0000000 0.00000000
22 1 0.0000000 0.00000000
23 1 0.0000000 0.00000000
24 1 0.0000000 0.00000000
25 1 0.0000000 0.00000000
26 1 0.0000000 0.00000000
27 1 0.0000000 0.00000000
28 1 0.0000000 0.00000000
29 1 0.0000000 0.00000000
30 1 0.0000000 0.00000000
31 1 0.0000000 0.00000000
32 1 0.0000000 0.00000000
33 1 0.0000000 0.00000000
34 1 0.0000000 0.00000000
35 1 0.0000000 0.00000000
36 1 0.0000000 0.00000000
37 1 0.0000000 0.00000000
38 1 0.0000000 0.00000000
39 1 0.0000000 0.00000000
40 1 0.0000000 0.00000000
41 1 0.0000000 0.00000000
42 1 0.0000000 0.00000000
43 1 0.0000000 0.00000000
44 1 0.0000000 0.00000000
45 1 0.0000000 0.00000000
46 1 0.0000000 0.00000000
47 1 0.0000000 0.00000000
48 1 0.0000000 0.00000000
49 1 0.0000000 0.00000000
50 1 0.0000000 0.00000000
51 0 1.0000000 0.00000000
52 0 1.0000000 0.00000000
53 0 1.0000000 0.00000000
54 0 1.0000000 0.00000000
55 0 1.0000000 0.00000000
56 0 1.0000000 0.00000000
57 0 0.7777778 0.22222222
58 0 1.0000000 0.00000000
59 0 1.0000000 0.00000000
60 0 1.0000000 0.00000000
61 0 1.0000000 0.00000000
62 0 1.0000000 0.00000000
63 0 1.0000000 0.00000000
64 0 0.6666667 0.33333333
65 0 1.0000000 0.00000000
66 0 1.0000000 0.00000000
67 0 1.0000000 0.00000000
68 0 1.0000000 0.00000000
69 0 0.6666667 0.33333333
70 0 1.0000000 0.00000000
71 0 0.5555556 0.44444444
72 0 1.0000000 0.00000000
73 0 0.4444444 0.55555556
74 0 1.0000000 0.00000000
75 0 1.0000000 0.00000000
76 0 1.0000000 0.00000000
77 0 1.0000000 0.00000000
78 0 0.5555556 0.44444444
79 0 0.8888889 0.11111111
80 0 1.0000000 0.00000000
81 0 1.0000000 0.00000000
82 0 1.0000000 0.00000000
83 0 1.0000000 0.00000000
84 0 0.2222222 0.77777778
85 0 1.0000000 0.00000000
86 0 0.8888889 0.11111111
87 0 1.0000000 0.00000000
88 0 1.0000000 0.00000000
89 0 1.0000000 0.00000000
90 0 1.0000000 0.00000000
91 0 1.0000000 0.00000000
92 0 0.9090909 0.09090909
93 0 1.0000000 0.00000000
94 0 1.0000000 0.00000000
95 0 1.0000000 0.00000000
96 0 1.0000000 0.00000000
97 0 1.0000000 0.00000000
98 0 1.0000000 0.00000000
99 0 1.0000000 0.00000000
100 0 1.0000000 0.00000000
101 0 0.0000000 1.00000000
102 0 0.1111111 0.88888889
103 0 0.0000000 1.00000000
104 0 0.0000000 1.00000000
105 0 0.0000000 1.00000000
106 0 0.0000000 1.00000000
107 0 0.7777778 0.22222222
108 0 0.0000000 1.00000000
109 0 0.0000000 1.00000000
110 0 0.0000000 1.00000000
111 0 0.1111111 0.88888889
112 0 0.0000000 1.00000000
113 0 0.0000000 1.00000000
114 0 0.1000000 0.90000000
115 0 0.0000000 1.00000000
116 0 0.0000000 1.00000000
117 0 0.0000000 1.00000000
118 0 0.0000000 1.00000000
119 0 0.0000000 1.00000000
120 0 0.3000000 0.70000000
121 0 0.0000000 1.00000000
122 0 0.1111111 0.88888889
123 0 0.0000000 1.00000000
124 0 0.2222222 0.77777778
125 0 0.0000000 1.00000000
126 0 0.0000000 1.00000000
127 0 0.3333333 0.66666667
128 0 0.4000000 0.60000000
129 0 0.0000000 1.00000000
130 0 0.0000000 1.00000000
131 0 0.0000000 1.00000000
132 0 0.0000000 1.00000000
133 0 0.0000000 1.00000000
134 0 0.4444444 0.55555556
135 0 0.2222222 0.77777778
136 0 0.0000000 1.00000000
137 0 0.0000000 1.00000000
138 0 0.0000000 1.00000000
139 0 0.4444444 0.55555556
140 0 0.0000000 1.00000000
141 0 0.0000000 1.00000000
142 0 0.0000000 1.00000000
143 0 0.1111111 0.88888889
144 0 0.0000000 1.00000000
145 0 0.0000000 1.00000000
146 0 0.0000000 1.00000000
147 0 0.2222222 0.77777778
148 0 0.1111111 0.88888889
149 0 0.0000000 1.00000000
150 0 0.2222222 0.77777778
$knn
[1] setosa setosa setosa setosa setosa setosa
[7] setosa setosa setosa setosa setosa setosa
[13] setosa setosa setosa setosa setosa setosa
[19] setosa setosa setosa setosa setosa setosa
[25] setosa setosa setosa setosa setosa setosa
[31] setosa setosa setosa setosa setosa setosa
[37] setosa setosa setosa setosa setosa setosa
[43] setosa setosa setosa setosa setosa setosa
[49] setosa setosa versicolor versicolor versicolor versicolor
[55] versicolor versicolor versicolor versicolor versicolor versicolor
[61] versicolor versicolor versicolor versicolor versicolor versicolor
[67] versicolor versicolor versicolor versicolor versicolor versicolor
[73] virginica versicolor versicolor versicolor versicolor versicolor
[79] versicolor versicolor versicolor versicolor versicolor virginica
[85] versicolor versicolor versicolor versicolor versicolor versicolor
[91] versicolor versicolor versicolor versicolor versicolor versicolor
[97] versicolor versicolor versicolor versicolor virginica virginica
[103] virginica virginica virginica virginica versicolor virginica
[109] virginica virginica virginica virginica virginica virginica
[115] virginica virginica virginica virginica virginica virginica
[121] virginica virginica virginica virginica virginica virginica
[127] virginica virginica virginica virginica virginica virginica
[133] virginica virginica virginica virginica virginica virginica
[139] virginica virginica virginica virginica virginica virginica
[145] virginica virginica virginica virginica virginica virginica
Levels: setosa versicolor virginica
$tree
[1] setosa setosa setosa setosa setosa setosa
[7] setosa setosa setosa setosa setosa setosa
[13] setosa setosa setosa setosa setosa setosa
[19] setosa setosa setosa setosa setosa setosa
[25] setosa setosa setosa setosa setosa setosa
[31] setosa setosa setosa setosa setosa setosa
[37] setosa setosa setosa setosa setosa setosa
[43] setosa setosa setosa setosa setosa setosa
[49] setosa setosa versicolor versicolor versicolor versicolor
[55] versicolor versicolor versicolor versicolor versicolor versicolor
[61] versicolor versicolor versicolor versicolor versicolor versicolor
[67] versicolor versicolor versicolor versicolor virginica versicolor
[73] versicolor versicolor versicolor versicolor versicolor versicolor
[79] versicolor versicolor versicolor versicolor versicolor virginica
[85] versicolor versicolor versicolor versicolor versicolor versicolor
[91] versicolor versicolor versicolor versicolor versicolor versicolor
[97] versicolor versicolor versicolor versicolor virginica virginica
[103] virginica virginica virginica virginica virginica virginica
[109] virginica virginica virginica virginica virginica virginica
[115] virginica virginica virginica virginica virginica virginica
[121] virginica virginica virginica virginica virginica virginica
[127] virginica virginica virginica virginica virginica virginica
[133] virginica versicolor virginica virginica virginica virginica
[139] virginica virginica virginica virginica virginica virginica
[145] virginica virginica virginica virginica virginica virginica
Levels: setosa versicolor virginica
obs pred model dataType object
1 setosa setosa knn Training knn
2 setosa setosa knn Training knn
3 setosa setosa knn Training knn
4 setosa setosa knn Training knn
5 setosa setosa knn Training knn
6 setosa setosa knn Training knn
7 setosa setosa knn Training knn
8 setosa setosa knn Training knn
9 setosa setosa knn Training knn
10 setosa setosa knn Training knn
11 setosa setosa knn Training knn
12 setosa setosa knn Training knn
13 setosa setosa knn Training knn
14 setosa setosa knn Training knn
15 setosa setosa knn Training knn
16 setosa setosa knn Training knn
17 setosa setosa knn Training knn
18 setosa setosa knn Training knn
19 setosa setosa knn Training knn
20 setosa setosa knn Training knn
21 setosa setosa knn Training knn
22 setosa setosa knn Training knn
23 setosa setosa knn Training knn
24 setosa setosa knn Training knn
25 setosa setosa knn Training knn
26 setosa setosa knn Training knn
27 setosa setosa knn Training knn
28 setosa setosa knn Training knn
29 setosa setosa knn Training knn
30 setosa setosa knn Training knn
31 setosa setosa knn Training knn
32 setosa setosa knn Training knn
33 setosa setosa knn Training knn
34 setosa setosa knn Training knn
35 setosa setosa knn Training knn
36 setosa setosa knn Training knn
37 setosa setosa knn Training knn
38 setosa setosa knn Training knn
39 setosa setosa knn Training knn
40 setosa setosa knn Training knn
41 setosa setosa knn Training knn
42 setosa setosa knn Training knn
43 setosa setosa knn Training knn
44 setosa setosa knn Training knn
45 setosa setosa knn Training knn
46 setosa setosa knn Training knn
47 setosa setosa knn Training knn
48 setosa setosa knn Training knn
49 setosa setosa knn Training knn
50 setosa setosa knn Training knn
51 versicolor versicolor knn Training knn
52 versicolor versicolor knn Training knn
53 versicolor versicolor knn Training knn
54 versicolor versicolor knn Training knn
55 versicolor versicolor knn Training knn
56 versicolor versicolor knn Training knn
57 versicolor versicolor knn Training knn
58 versicolor versicolor knn Training knn
59 versicolor versicolor knn Training knn
60 versicolor versicolor knn Training knn
61 versicolor versicolor knn Training knn
62 versicolor versicolor knn Training knn
63 versicolor versicolor knn Training knn
64 versicolor versicolor knn Training knn
65 versicolor versicolor knn Training knn
66 versicolor versicolor knn Training knn
67 versicolor versicolor knn Training knn
68 versicolor versicolor knn Training knn
69 versicolor versicolor knn Training knn
70 versicolor versicolor knn Training knn
71 versicolor versicolor knn Training knn
72 versicolor versicolor knn Training knn
73 versicolor virginica knn Training knn
74 versicolor versicolor knn Training knn
75 versicolor versicolor knn Training knn
76 versicolor versicolor knn Training knn
77 versicolor versicolor knn Training knn
78 versicolor versicolor knn Training knn
79 versicolor versicolor knn Training knn
80 versicolor versicolor knn Training knn
81 versicolor versicolor knn Training knn
82 versicolor versicolor knn Training knn
83 versicolor versicolor knn Training knn
84 versicolor virginica knn Training knn
85 versicolor versicolor knn Training knn
86 versicolor versicolor knn Training knn
87 versicolor versicolor knn Training knn
88 versicolor versicolor knn Training knn
89 versicolor versicolor knn Training knn
90 versicolor versicolor knn Training knn
91 versicolor versicolor knn Training knn
92 versicolor versicolor knn Training knn
93 versicolor versicolor knn Training knn
94 versicolor versicolor knn Training knn
95 versicolor versicolor knn Training knn
96 versicolor versicolor knn Training knn
97 versicolor versicolor knn Training knn
98 versicolor versicolor knn Training knn
99 versicolor versicolor knn Training knn
100 versicolor versicolor knn Training knn
101 virginica virginica knn Training knn
102 virginica virginica knn Training knn
103 virginica virginica knn Training knn
104 virginica virginica knn Training knn
105 virginica virginica knn Training knn
106 virginica virginica knn Training knn
107 virginica versicolor knn Training knn
108 virginica virginica knn Training knn
109 virginica virginica knn Training knn
110 virginica virginica knn Training knn
111 virginica virginica knn Training knn
112 virginica virginica knn Training knn
113 virginica virginica knn Training knn
114 virginica virginica knn Training knn
115 virginica virginica knn Training knn
116 virginica virginica knn Training knn
117 virginica virginica knn Training knn
118 virginica virginica knn Training knn
119 virginica virginica knn Training knn
120 virginica virginica knn Training knn
121 virginica virginica knn Training knn
122 virginica virginica knn Training knn
123 virginica virginica knn Training knn
124 virginica virginica knn Training knn
125 virginica virginica knn Training knn
126 virginica virginica knn Training knn
127 virginica virginica knn Training knn
128 virginica virginica knn Training knn
129 virginica virginica knn Training knn
130 virginica virginica knn Training knn
131 virginica virginica knn Training knn
132 virginica virginica knn Training knn
133 virginica virginica knn Training knn
134 virginica virginica knn Training knn
135 virginica virginica knn Training knn
136 virginica virginica knn Training knn
137 virginica virginica knn Training knn
138 virginica virginica knn Training knn
139 virginica virginica knn Training knn
140 virginica virginica knn Training knn
141 virginica virginica knn Training knn
142 virginica virginica knn Training knn
143 virginica virginica knn Training knn
144 virginica virginica knn Training knn
145 virginica virginica knn Training knn
146 virginica virginica knn Training knn
147 virginica virginica knn Training knn
148 virginica virginica knn Training knn
149 virginica virginica knn Training knn
150 virginica virginica knn Training knn
151 setosa setosa rda Training tree
152 setosa setosa rda Training tree
153 setosa setosa rda Training tree
154 setosa setosa rda Training tree
155 setosa setosa rda Training tree
156 setosa setosa rda Training tree
157 setosa setosa rda Training tree
158 setosa setosa rda Training tree
159 setosa setosa rda Training tree
160 setosa setosa rda Training tree
161 setosa setosa rda Training tree
162 setosa setosa rda Training tree
163 setosa setosa rda Training tree
164 setosa setosa rda Training tree
165 setosa setosa rda Training tree
166 setosa setosa rda Training tree
167 setosa setosa rda Training tree
168 setosa setosa rda Training tree
169 setosa setosa rda Training tree
170 setosa setosa rda Training tree
171 setosa setosa rda Training tree
172 setosa setosa rda Training tree
173 setosa setosa rda Training tree
174 setosa setosa rda Training tree
175 setosa setosa rda Training tree
176 setosa setosa rda Training tree
177 setosa setosa rda Training tree
178 setosa setosa rda Training tree
179 setosa setosa rda Training tree
180 setosa setosa rda Training tree
181 setosa setosa rda Training tree
182 setosa setosa rda Training tree
183 setosa setosa rda Training tree
184 setosa setosa rda Training tree
185 setosa setosa rda Training tree
186 setosa setosa rda Training tree
187 setosa setosa rda Training tree
188 setosa setosa rda Training tree
189 setosa setosa rda Training tree
190 setosa setosa rda Training tree
191 setosa setosa rda Training tree
192 setosa setosa rda Training tree
193 setosa setosa rda Training tree
194 setosa setosa rda Training tree
195 setosa setosa rda Training tree
196 setosa setosa rda Training tree
197 setosa setosa rda Training tree
198 setosa setosa rda Training tree
199 setosa setosa rda Training tree
200 setosa setosa rda Training tree
201 versicolor versicolor rda Training tree
202 versicolor versicolor rda Training tree
203 versicolor versicolor rda Training tree
204 versicolor versicolor rda Training tree
205 versicolor versicolor rda Training tree
206 versicolor versicolor rda Training tree
207 versicolor versicolor rda Training tree
208 versicolor versicolor rda Training tree
209 versicolor versicolor rda Training tree
210 versicolor versicolor rda Training tree
211 versicolor versicolor rda Training tree
212 versicolor versicolor rda Training tree
213 versicolor versicolor rda Training tree
214 versicolor versicolor rda Training tree
215 versicolor versicolor rda Training tree
216 versicolor versicolor rda Training tree
217 versicolor versicolor rda Training tree
218 versicolor versicolor rda Training tree
219 versicolor versicolor rda Training tree
220 versicolor versicolor rda Training tree
221 versicolor virginica rda Training tree
222 versicolor versicolor rda Training tree
223 versicolor versicolor rda Training tree
224 versicolor versicolor rda Training tree
225 versicolor versicolor rda Training tree
226 versicolor versicolor rda Training tree
227 versicolor versicolor rda Training tree
228 versicolor versicolor rda Training tree
229 versicolor versicolor rda Training tree
230 versicolor versicolor rda Training tree
231 versicolor versicolor rda Training tree
232 versicolor versicolor rda Training tree
233 versicolor versicolor rda Training tree
234 versicolor virginica rda Training tree
235 versicolor versicolor rda Training tree
236 versicolor versicolor rda Training tree
237 versicolor versicolor rda Training tree
238 versicolor versicolor rda Training tree
239 versicolor versicolor rda Training tree
240 versicolor versicolor rda Training tree
241 versicolor versicolor rda Training tree
242 versicolor versicolor rda Training tree
243 versicolor versicolor rda Training tree
244 versicolor versicolor rda Training tree
245 versicolor versicolor rda Training tree
246 versicolor versicolor rda Training tree
247 versicolor versicolor rda Training tree
248 versicolor versicolor rda Training tree
249 versicolor versicolor rda Training tree
250 versicolor versicolor rda Training tree
251 virginica virginica rda Training tree
252 virginica virginica rda Training tree
253 virginica virginica rda Training tree
254 virginica virginica rda Training tree
255 virginica virginica rda Training tree
256 virginica virginica rda Training tree
257 virginica virginica rda Training tree
258 virginica virginica rda Training tree
259 virginica virginica rda Training tree
260 virginica virginica rda Training tree
261 virginica virginica rda Training tree
262 virginica virginica rda Training tree
263 virginica virginica rda Training tree
264 virginica virginica rda Training tree
265 virginica virginica rda Training tree
266 virginica virginica rda Training tree
267 virginica virginica rda Training tree
268 virginica virginica rda Training tree
269 virginica virginica rda Training tree
270 virginica virginica rda Training tree
271 virginica virginica rda Training tree
272 virginica virginica rda Training tree
273 virginica virginica rda Training tree
274 virginica virginica rda Training tree
275 virginica virginica rda Training tree
276 virginica virginica rda Training tree
277 virginica virginica rda Training tree
278 virginica virginica rda Training tree
279 virginica virginica rda Training tree
280 virginica virginica rda Training tree
281 virginica virginica rda Training tree
282 virginica virginica rda Training tree
283 virginica virginica rda Training tree
284 virginica versicolor rda Training tree
285 virginica virginica rda Training tree
286 virginica virginica rda Training tree
287 virginica virginica rda Training tree
288 virginica virginica rda Training tree
289 virginica virginica rda Training tree
290 virginica virginica rda Training tree
291 virginica virginica rda Training tree
292 virginica virginica rda Training tree
293 virginica virginica rda Training tree
294 virginica virginica rda Training tree
295 virginica virginica rda Training tree
296 virginica virginica rda Training tree
297 virginica virginica rda Training tree
298 virginica virginica rda Training tree
299 virginica virginica rda Training tree
300 virginica virginica rda Training tree
setosa versicolor virginica obs pred model dataType
1 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
2 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
3 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
4 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
5 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
6 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
7 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
8 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
9 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
10 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
11 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
12 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
13 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
14 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
15 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
16 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
17 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
18 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
19 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
20 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
21 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
22 1.000000e+00 0.000000e+00 0.000000e+00 setosa setosa knn Training
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