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1 | !752 |
2 | |
3 | // java ml and dependencies |
4 | lib 1002535 |
5 | lib 1002536 |
6 | lib 1002537 |
7 | lib 1002538 |
8 | lib 1002539 |
9 | lib 1002540 |
10 | |
11 | import net.sf.javaml.classification.*; |
12 | import net.sf.javaml.core.*; |
13 | import net.sf.javaml.tools.data.*; |
14 | |
15 | p { |
16 | File irisCSV = loadLibrary("#1002541"); |
17 | |
18 | /* Load a data set */ |
19 | |
20 | Dataset data = FileHandler.loadDataset(irisCSV, 4, ","); |
21 | |
22 | /* Construct a KNN classifier that uses 5 neighbors to make a |
23 | * decision. */ |
24 | |
25 | Classifier knn = new KNearestNeighbors(5); |
26 | knn.buildClassifier(data); |
27 | |
28 | Dataset dataForClassification = FileHandler.loadDataset(irisCSV, 4, ","); |
29 | |
30 | /* Counters for correct and wrong predictions. */ |
31 | int correct = 0, wrong = 0; |
32 | /* Classify all instances and check with the correct class values */ |
33 | for (Instance inst : dataForClassification) { |
34 | Object predictedClassValue = knn.classify(inst); |
35 | Object realClassValue = inst.classValue(); |
36 | if (predictedClassValue.equals(realClassValue)) |
37 | correct++; |
38 | else |
39 | wrong++; |
40 | } |
41 | |
42 | print("correct=" + correct + ", wrong=" + wrong); |
43 | } |
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Snippet ID: | #1002542 |
Snippet name: | Java ML Test Program (developing) |
Eternal ID of this version: | #1002542/1 |
Text MD5: | c41b10d1922d7cc567c7b63bd9da3573 |
Transpilation MD5: | 4f985273fc2e8a2edbd150e6674d2a64 |
Author: | stefan |
Category: | javax |
Type: | JavaX source code |
Public (visible to everyone): | Yes |
Archived (hidden from active list): | No |
Created/modified: | 2016-09-11 17:07:12 |
Source code size: | 1103 bytes / 43 lines |
Pitched / IR pitched: | No / No |
Views / Downloads: | 572 / 607 |
Referenced in: | [show references] |