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Supervised Regression on liver-disorders

Supervised Regression on liver-disorders

Task 52948 Supervised Regression liver-disorders 122 runs submitted
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Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.earth(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3894, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1227, root_relative_squared_error: 0.9369,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.ctree(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4815, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1906, root_relative_squared_error: 0.9573,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.cforest(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3516, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.0194, root_relative_squared_error: 0.9059,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.rvm(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6112, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3835, root_relative_squared_error: 1.0151,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.rsm(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.431, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1741, root_relative_squared_error: 0.9523,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.rpart(2) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6045, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.993, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3625, root_relative_squared_error: 1.0088,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.randomForest(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3943, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.0385, root_relative_squared_error: 0.9116,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.plsr(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.431, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1741, root_relative_squared_error: 0.9523,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.penalized.ridge(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.431, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1741, root_relative_squared_error: 0.9523,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.penalized.lasso(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.431, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1741, root_relative_squared_error: 0.9523,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.pcr(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.431, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1741, root_relative_squared_error: 0.9523,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.nnet(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6556, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3883, root_relative_squared_error: 1.0166,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.lm(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.431, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1741, root_relative_squared_error: 0.9523,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.ksvm(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3546, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1541, root_relative_squared_error: 0.9463,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.km(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.4551, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.3172, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.8007, root_relative_squared_error: 1.4403,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.glmnet(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4305, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1701, root_relative_squared_error: 0.9511,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.gbm(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6018, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3099, root_relative_squared_error: 0.9931,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.fnn(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6855, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0238, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.4814, root_relative_squared_error: 1.0445,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.earth(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3894, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1227, root_relative_squared_error: 0.9369,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.ctree(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4815, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1906, root_relative_squared_error: 0.9573,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.cforest(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3516, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.0194, root_relative_squared_error: 0.9059,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.regr.rpart(2) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6045, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.993, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3625, root_relative_squared_error: 1.0088,

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Challenge

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.

Given inputs

estimation_procedure 10-fold Crossvalidation
evaluation_measures root_mean_squared_error
source_data liver-disorders (1)
target_feature drinks

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

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