AIbased Prediction of Cancer Disease using Modified NonImperious PSO (Particle Search optimization) with AdaptiveRandomized Search CV (Crossvalidation) algorithm for hyperparametertuning

Computer Science

1. Feature Selection 100%
2. Feature Extraction 83%
3. Support Vector Machine 75%
4. Leaning Parameter 58%
5. Prediction Model 50%
6. Search Space 41%
7. Optimization Algorithm 41%
8. Majority Voting 33%
9. Decision Tree 33%
10. Optimum Solution 25%
11. Prediction Performance 25%
12. Global Optimal Solution 25%
13. Multiobjective 16%
14. Categorical Data 16%
15. Data Preprocessing 16%
16. Preprocessing Phase 16%
17. Data Mapping 16%
18. Random Forest Classifier 16%
19. Conventional Method 16%
20. Random Decision Forest 16%
21. Classification Method 8%
22. Decision Table 8%
23. Search Strategy 8%
24. Fitness Function 8%
25. Ensemble Technique 8%
26. Parameter Value 8%
27. Training Dataset 8%
28. Normal Distribution 8%
29. Feature Vector 8%
30. Computer Aided Design 8%
31. Multi-Classifiers 8%
32. Classification Performance 8%
33. Deep Learning Method 8%
34. Nave Bayes 8%
35. Convolutional Neural Network 8%
36. Performance Evaluation 8%
37. Density Function 8%
38. Fuzzy AHP 8%
39. Extreme Gradient Boosting 8%
40. local feature 8%
41. Aided Diagnosis 8%
42. Training Phase 8%
43. Selection Process 8%
44. Artificial Neural Network 8%
45. Iterative Process 8%