Task
Supervised Regression on titanic_2

Supervised Regression on titanic_2

Task 211993 Supervised Regression titanic_2 20 runs submitted
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PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... rest.RandomForestRegressor)(2) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.473, number_of_instances: 891, root_mean_prior_squared_error: 0.4863,
sri ranga sai 5 years ago
ran flow sklearn.naive_bayes.GaussianNB(19) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9165,
sri ranga sai 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(4) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9191,
sri ranga sai 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(4) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9191,
sri ranga sai 5 years ago
ran flow sklearn.tree._classes.ExtraTreeClassifier(2) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.202, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9242,
sri ranga sai 5 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8604,
sri ranga sai 5 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Regression on data set titanic_2
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.473, number_of_instances: 891, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4863, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8902,

    Metric:

    Timeline

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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 titanic_2 (2)
    target_feature Survived

    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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