Table 11 (abstract P45) Results of different classification methods on the test set
From: Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015)
Leukimia Dataset | |||
|---|---|---|---|
Method | Accurecy | Sensitivity | Specificity |
SVM | |||
linear | 97.14% | 100% | 92.85% |
polynomial | 88.57% | 100% | 71.24% |
radial | 97.14% | 100% | 92.85% |
sigmoid | 97.14% | 100% | 92.85% |
k-NN | |||
K = 1 | 94.28% | 100% | 85.71% |
K = 3 | 97.14% | 100% | 92.85% |
K = 5 | 94.28% | 100% | 85.71% |
K = 7 | 91.42% | 100% | 78.85% |
K = 9 | 85.71% | 100% | 64.29% |
K = 11 | 77.14% | 100% | 42.86% |
Random Forest | 93.42% | 99.52% | 84.28% |
LDA | 91.42% | 100% | 78.57% |