Sequence Classification on Breast Cancer dataset
86.8AccuracyCGR-Rips
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CGR-RipsMethod Category=Image Based, DL Model=RESNET, Training Runtime (sec)=49751.612025.12 | 86.8 | 83.3 | 86.8 | 84 | 44.4 | 67.3 | |
| FCGRMethod Category=Image Based, DL Model=1 Layer CNN, Training Runtime (sec)=5410.3572025.12 | 86.3 | 83.1 | 86.3 | 84.4 | 49 | 67.7 | |
| CGR-RipsMethod Category=Image Based, DL Model=1 Layer CNN, Training Runtime (sec)=5254.712025.12 | 85.8 | 84.5 | 85.8 | 84.7 | 44.6 | 69.1 | |
| CGR-RipsMethod Category=Image Based, DL Model=4 Layer CNN, Training Runtime (sec)=46104.012025.12 | 85.8 | 85.6 | 85.8 | 85 | 46.4 | 70.9 | |
| CGR-RipsMethod Category=Image Based, DL Model=VGG, Training Runtime (sec)=63290.282025.12 | 84.2 | 82.7 | 84.2 | 82.8 | 45 | 69.7 | |
| Auto-EncoderMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=0.0672025.12 | 83.2 | 80.2 | 83.2 | 80.4 | 43.1 | 64.5 | |
| FCGRMethod Category=Image Based, DL Model=4 Layer CNN, Training Runtime (sec)=56873.7492025.12 | 83.1 | 73.5 | 83.1 | 77.9 | 32.9 | 58.6 | |
| CGR-RipsMethod Category=Image Based, DL Model=3 Layer CNN, Training Runtime (sec)=45980.532025.12 | 82.6 | 82 | 82.6 | 81.5 | 42.5 | 69.1 | |
| FCGRMethod Category=Image Based, DL Model=VGG, Training Runtime (sec)=51234.2412025.12 | 80.3 | 68.4 | 80.3 | 72 | 24.3 | 50.9 | |
| FCGRMethod Category=Image Based, DL Model=3 Layer CNN, Training Runtime (sec)=52147.8512025.12 | 80 | 64 | 80 | 71.1 | 22.2 | 50 | |
| FCGRMethod Category=Image Based, DL Model=RESNET, Training Runtime (sec)=49715.7582025.12 | 80 | 64.2 | 80 | 71.2 | 22.2 | 50.1 | |
| RandomCGRMethod Category=Image Based, DL Model=3 Layer CNN, Training Runtime (sec)=53214.3412025.12 | 80 | 64 | 80 | 71.1 | 22.2 | 50 | |
| RandomCGRMethod Category=Image Based, DL Model=4 Layer CNN, Training Runtime (sec)=64128.3872025.12 | 80 | 64 | 80 | 71.1 | 22.2 | 50 | |
| RandomCGRMethod Category=Image Based, DL Model=VGG, Training Runtime (sec)=53214.5242025.12 | 80 | 64 | 80 | 71.1 | 22.2 | 50 | |
| RandomCGRMethod Category=Image Based, DL Model=RESNET, Training Runtime (sec)=55654.8512025.12 | 80 | 64 | 80 | 71.1 | 22.2 | 50 | |
| CGR-RipsMethod Category=Image Based, DL Model=Efficient Net, Training Runtime (sec)=9847.852025.12 | 80 | 76.9 | 80 | 77.1 | 35.3 | 69.7 | |
| WDGRLMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=0.0162025.12 | 79.4 | 71.5 | 79.4 | 73 | 27 | 51.8 | |
| RandomCGRMethod Category=Image Based, DL Model=1 Layer CNN, Training Runtime (sec)=4982.8642025.12 | 79.2 | 63.8 | 79.2 | 70.7 | 22.1 | 49.7 | |
| Spike2CGRMethod Category=Image Based, DL Model=1 Layer CNN, Training Runtime (sec)=6547.9792025.12 | 78.3 | 61.3 | 78.3 | 68.7 | 21.9 | 50 | |
| Spike2CGRMethod Category=Image Based, DL Model=3 Layer CNN, Training Runtime (sec)=55419.4492025.12 | 78.3 | 61.2 | 78.3 | 68.7 | 21.9 | 50 | |
| Spike2CGRMethod Category=Image Based, DL Model=4 Layer CNN, Training Runtime (sec)=56482.4582025.12 | 78.3 | 61.2 | 78.3 | 68.7 | 21.9 | 50 | |
| Spike2CGRMethod Category=Image Based, DL Model=RESNET, Training Runtime (sec)=50179.7162025.12 | 77 | 55.9 | 77 | 65.4 | 19.8 | 50 | |
| Spike2CGRMethod Category=Image Based, DL Model=VGG, Training Runtime (sec)=49851.8522025.12 | 76.5 | 65 | 76.5 | 65 | 20 | 50 | |
| SeqVecMethod Category=LLM, DL Model=None, Training Runtime (sec)=22.2532025.12 | 67.4 | 81.9 | 67.4 | 72.5 | 38.9 | 65.1 | |
| OHEMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=0.0692025.12 | 60.9 | 85.3 | 60.9 | 67.6 | 39.5 | 67.8 | |
| MinimizerMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=0.1492025.12 | 57.7 | 80.7 | 57.7 | 63.5 | 33.2 | 61.6 | |
| CGR-RipsMethod Category=Image Based, DL Model=Dense Net, Training Runtime (sec)=10393.382025.12 | 51.1 | 56.1 | 51.1 | 53.3 | 18 | 43 | |
| Spaced k-merMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=1.0362025.12 | 27.6 | 46 | 27.6 | 25.3 | 21.6 | 55.9 | |
| Spike2VecMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=0.1332025.12 | 24.1 | 29.8 | 24.1 | 21.2 | 20 | 55 | |
| PWM2VecMethod Category=Vector Based, DL Model=None, Training Runtime (sec)=0.6182025.12 | 19.9 | 80.8 | 19.9 | 22.1 | 19 | 54.1 | |
| FCGRMethod Category=Image Based, DL Model=Dense Net, Training Runtime (sec)=11482.2592025.12 | 11.6 | 1.3 | 11.6 | 2.4 | 5.2 | 50 | |
| Spike2CGRMethod Category=Image Based, DL Model=Dense Net, Training Runtime (sec)=10248.1542025.12 | 11.6 | 1.1 | 11.6 | 2.2 | 5 | 50 | |
| RandomCGRMethod Category=Image Based, DL Model=Dense Net, Training Runtime (sec)=10247.7512025.12 | 9.5 | 1.1 | 9.5 | 1 | 9.5 | 50 | |
| FCGRMethod Category=Image Based, DL Model=Efficient Net, Training Runtime (sec)=8731.6142025.12 | 8.9 | 0.8 | 8.9 | 1.4 | 4.1 | 50 | |
| Spike2CGRMethod Category=Image Based, DL Model=Efficient Net, Training Runtime (sec)=9812.9842025.12 | 8.5 | 0.5 | 8.5 | 0.9 | 0.8 | 50 | |
| RandomCGRMethod Category=Image Based, DL Model=Efficient Net, Training Runtime (sec)=9547.7592025.12 | 2.8 | 0.2 | 2.8 | 0.4 | 2.7 | 50 |