the source code, supplementary file of "Multi-task Cascade Forest Framework for Predicting Acute Toxicity Across Species".
Python==3.7.6
numpy
pandas
sklearn
(1)The feature folder contains 59 toxicity datasets, the feature type is Avalon.
(2)The label folder contains 59 label files corresponding to 59 toxicity datasets.
(3)The label is in the last column of the label file.
(4)"task_relation_cov_distance.csv", this csv file contains pre-calculated covariance relationship among subtasks.
#Run the following commands in linux environment to obtain 5 reports corresponding to 5-fold cross-verification
nohup python ./CFFAT_fold1.py > ./Fold1Result.log 2>&1 &
nohup python ./CFFAT_fold2.py > ./Fold2Result.log 2>&1 &
nohup python ./CFFAT_fold3.py > ./Fold3Result.log 2>&1 &
nohup python ./CFFAT_fold4.py > ./Fold4Result.log 2>&1 &
nohup python ./CFFAT_fold5.py > ./Fold5Result.log 2>&1 &