Task
Supervised Regression on cleveland

Supervised Regression on cleveland

Task 2285 Supervised Regression cleveland 48 runs submitted
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Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.dfc8855dba93b2e6(1) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.9497, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.936, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.4483, root_relative_squared_error: 1.1808,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(5) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6519, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8915, root_relative_squared_error: 0.7269,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.73, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0248, root_relative_squared_error: 0.8355,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7228, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0244, root_relative_squared_error: 0.8352,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(5) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6451, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8807, root_relative_squared_error: 0.718,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(5) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6445, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8797, root_relative_squared_error: 0.7172,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(5) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6407, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.873, root_relative_squared_error: 0.7118,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.728, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0287, root_relative_squared_error: 0.8387,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6798, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.67, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.9729, root_relative_squared_error: 0.7932,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(5) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6445, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8797, root_relative_squared_error: 0.7172,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.728, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0287, root_relative_squared_error: 0.8387,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.728, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0287, root_relative_squared_error: 0.8387,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(4) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.728, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0287, root_relative_squared_error: 0.8387,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6465, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8839, root_relative_squared_error: 0.7206,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6491, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8907, root_relative_squared_error: 0.7262,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6461, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8831, root_relative_squared_error: 0.72,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6461, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8831, root_relative_squared_error: 0.72,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7169, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0232, root_relative_squared_error: 0.8342,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7297, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0469, root_relative_squared_error: 0.8535,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7204, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.71, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0259, root_relative_squared_error: 0.8364,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7204, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.71, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0259, root_relative_squared_error: 0.8364,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6465, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8839, root_relative_squared_error: 0.7206,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6491, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8907, root_relative_squared_error: 0.7262,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6461, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8831, root_relative_squared_error: 0.72,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6461, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8831, root_relative_squared_error: 0.72,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7169, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0232, root_relative_squared_error: 0.8342,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7297, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0469, root_relative_squared_error: 0.8535,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7204, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.71, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0259, root_relative_squared_error: 0.8364,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7204, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.71, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0259, root_relative_squared_error: 0.8364,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6465, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8839, root_relative_squared_error: 0.7206,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6491, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8907, root_relative_squared_error: 0.7262,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6461, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8831, root_relative_squared_error: 0.72,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.cforest(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6461, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 0.8831, root_relative_squared_error: 0.72,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7169, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0232, root_relative_squared_error: 0.8342,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7297, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0469, root_relative_squared_error: 0.8535,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7204, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.71, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0259, root_relative_squared_error: 0.8364,
Heidi Seibold 8 years ago
ran flow mlr.regr.develpartykit.ctree(3) on task Supervised Regression on data set cleveland
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7204, mean_prior_absolute_error: 1.0146, number_of_instances: 303, relative_absolute_error: 0.71, root_mean_prior_squared_error: 1.2265, root_mean_squared_error: 1.0259, root_relative_squared_error: 0.8364,

    Metric:

    Timeline

    Plotting contribution timeline

    Leaderboard

    Rank Name Top Score Entries Highest rank

    Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

    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 mean_absolute_error
    source_data cleveland (1)
    target_feature num

    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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