Task
Supervised Regression on dataset-autoHorse_fixed

Supervised Regression on dataset-autoHorse_fixed

Task 211237 Supervised Regression dataset-autoHorse_fixed 15 runs submitted
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Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... arn.decomposition.pca.PCA))(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3113.9859, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 5607.4938, root_relative_squared_error: 0.7074,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... ing_blocks.ProcessingBlock)(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2694.2924, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 4452.6729, root_relative_squared_error: 0.5617,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... ing_blocks.ProcessingBlock)(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1597.0769, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2618.9453, root_relative_squared_error: 0.3304,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... ing_blocks.ProcessingBlock)(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1274.2552, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 1836.5408, root_relative_squared_error: 0.2317,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1642.9685, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2406.524, root_relative_squared_error: 0.3036,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1634.539, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2341.137, root_relative_squared_error: 0.2953,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1634.539, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2341.137, root_relative_squared_error: 0.2953,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1643.0197, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2406.8098, root_relative_squared_error: 0.3036,
George Volkov 5 years ago
ran flow sklearn.ensemble.forest.RandomForestRegressor(2) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1389.9481, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.238, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2089.3591, root_relative_squared_error: 0.2636,
George Volkov 5 years ago
ran flow sklearn.ensemble.forest.RandomForestRegressor(2) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1385.3544, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2094.1428, root_relative_squared_error: 0.2642,
George Volkov 5 years ago
ran flow sklearn.ensemble.forest.RandomForestRegressor(2) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1422.94, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2126.7951, root_relative_squared_error: 0.2683,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1635.5242, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.28, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2257.7149, root_relative_squared_error: 0.2848,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1627.5819, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2276.0475, root_relative_squared_error: 0.2871,
George Volkov 5 years ago
ran flow sklearn.linear_model.ridge.Ridge(1) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1626.7991, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2272.2571, root_relative_squared_error: 0.2866,
George Volkov 5 years ago
ran flow sklearn.linear_model.base.LinearRegression(3) on task Supervised Regression on data set dataset-autoHorse_fixed
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1676.9788, mean_prior_absolute_error: 5841.1883, number_of_instances: 201, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 7927.2729, root_mean_squared_error: 2456.897, root_relative_squared_error: 0.3099,

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    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 predictive_accuracy
    source_data dataset-autoHorse_fixed (2)
    target_feature price

    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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