Fig 1.
Basic steps for the proposed methodology for the leukemia classification.
Table 1.
Performance evaluation measures.
Table 2.
Performance measure analysis using Linear Regression.
Fig 2.
Confusion Matrix using Linear Regression.
Table 3.
Results analysis using Random Forest.
Fig 3.
Confusion Matrix using Random Forest.
Table 4.
Results analysis using SVM.
Fig 4.
Confusion Matrix using SVM.
Table 5.
Results analysis using LSTM.
Fig 5.
Confusion Matrix using LSTM.
Fig 6.
(a) Model Loss and (b) Accuracy using LSTM Mode.l.
Table 6.
Comparisons of the Results using Machine Learning and Deep learning models.
Table 7.
A comparison of the results of the 25 features that were used for this study with other feature sets from earlier leukemia classification studies.
Fig 7.
Comparisons of the Results using Machine learning on selected 25 Features.