Hello,
i have a arff file with information about patients with various diseases. I created several attributes (about 110 diseases and other atributes like age, country and genre) which then for each patient in each disease i put a 0 or 1 (0 = no disease, 1 = has the disease).
i'm trying to create a model to find the most associated diseases (as if Market Basket analysis) and i use the apriori algorithm on weka, in this dataset that contains 100 records and 114 attributes (and still more will be added) , but i get the message:
"not enough memory (less than 50 MB left on heap). please load a smaller dataset or use a larger heap size".
someone know something about this message? is this the best way to know which diseases are most associated with a particular disease?
thank you very much for your help
i have a arff file with information about patients with various diseases. I created several attributes (about 110 diseases and other atributes like age, country and genre) which then for each patient in each disease i put a 0 or 1 (0 = no disease, 1 = has the disease).
i'm trying to create a model to find the most associated diseases (as if Market Basket analysis) and i use the apriori algorithm on weka, in this dataset that contains 100 records and 114 attributes (and still more will be added) , but i get the message:
"not enough memory (less than 50 MB left on heap). please load a smaller dataset or use a larger heap size".
someone know something about this message? is this the best way to know which diseases are most associated with a particular disease?
thank you very much for your help