Task
Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155

Task 103194 Supervised Regression QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155 2 runs submitted
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Noureddin Sadawi 8 years ago
ran flow mlr.regr.rvm(2) on task Supervised Regression on data set QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.8037, mean_prior_absolute_error: 0.9718, number_of_instances: 1171, relative_absolute_error: 0.827, root_mean_prior_squared_error: 1.178, root_mean_squared_error: 1.0698, root_relative_squared_error: 0.9081,
Noureddin Sadawi 8 years ago
ran flow mlr.regr.randomForest(2) on task Supervised Regression on data set QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.5621, mean_prior_absolute_error: 0.9718, number_of_instances: 1171, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 1.178, root_mean_squared_error: 0.744, root_relative_squared_error: 0.6316,

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    Given a dataset with a numeric target and a set of train/test splits, e.g. generated by a cross-validation procedure, train a model and return the predictions of that model.

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