Table 4 Mean Square Error (MSE) and Mean Absolute Error (MAE) between actual and predicted responses using 3 fold cross validation for different cancer types of GDSC dataset.
From: Heterogeneity Aware Random Forest for Drug Sensitivity Prediction
Drug Name | Cancer Types | Number of Samples | Mean AUC of Cancer Types | Random Forest | HARF | ||
|---|---|---|---|---|---|---|---|
MSE | MAE | MSE | MAE | ||||
DMOG | Blood & Breast | 94 & 37 | 0.4437 & 0.1871 | 0.0276 | 0.1416 | 0.0261 | 0.1316 |
OSU-03012 | ADT & Breast | 45 & 37 | 0.2567 & 0.1181 | 0.0225 | 0.1260 | 0.0211 | 0.1208 |
MG-132 | Blood & Skin | 93 & 14 | 0.070 & 0.277 | 0.0140 | 0.0904 | 0.0133 | 0.0859 |
Gemcitabine | ADT & Blood Breast | 138 & 37 | 0.3280 & 0.1974 | 0.0344 | 0.1561 | 0.0337 | 0.1527 |
IPA-3 | Blood & Skin | 93 & 36 | 0.1619 & 0.0373 | 0.0120 | 0.0874 | 0.0116 | 0.0828 |
