Task
Supervised Regression on liver-disorders

Supervised Regression on liver-disorders

Task 52948 Supervised Regression liver-disorders 122 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

122 Runs

Fetching data
Fetching data
Search runs in more detail
ID's
Sort: most recent
122 results
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(2) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... arn.decomposition.pca.PCA))(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.5116, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3433, root_relative_squared_error: 1.0031,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... ing_blocks.ProcessingBlock)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.42, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.2003, root_relative_squared_error: 0.9602,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... ing_blocks.ProcessingBlock)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.441, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.2341, root_relative_squared_error: 0.9703,
Koralp Catalsakal 5 years ago
ran flow Framework.custom_sklearn_pipel ... ing_blocks.ProcessingBlock)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.45, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.934, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1711, root_relative_squared_error: 0.9514,
Koralp Catalsakal 5 years ago
ran flow sklearn.pipeline.Pipeline(Shap ... peline.CustomPipelineModel)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4516, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1763, root_relative_squared_error: 0.953,
Adrian-Stefan Mares 6 years ago
ran flow keras.engine.sequential.Sequential.d24c86cb(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.8655, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0924, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.2212, root_relative_squared_error: 1.2665,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.91dd7a951bee6c04(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.4623, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.32, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.8064, root_relative_squared_error: 1.4421,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.502b01d7f2fb8df(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.581, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.984, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.5131, root_relative_squared_error: 1.054,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.a8db2806744f102b(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6397, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.7046, root_relative_squared_error: 1.1115,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.5e7fccb44640f5c(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.7275, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0399, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.9392, root_relative_squared_error: 1.1819,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.3f7e79225c936e6f(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.4007, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.2965, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.7606, root_relative_squared_error: 1.4283,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.b08f5d308c88d473(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4768, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3237, root_relative_squared_error: 0.9972,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.502b111e7940d4fb(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.4944, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.3322, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.8248, root_relative_squared_error: 1.4476,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.5c9557966132a158(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.9592, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.1282, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.4087, root_relative_squared_error: 1.3227,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.e601db6acb260940(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.242, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.236, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.6313, root_relative_squared_error: 1.3895,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.5e5bf2122e18acb2(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.4537, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.3167, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.7961, root_relative_squared_error: 1.439,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.901288a391a3601b(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6074, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.4948, root_relative_squared_error: 1.0485,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.d80a16722f8e31de(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.8888, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.1014, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.2262, root_relative_squared_error: 1.268,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.20956f0ebaa503e(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.069, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.17, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.46, root_relative_squared_error: 1.3381,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.4f3a4f8880b77f48(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.5599, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.976, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.4107, root_relative_squared_error: 1.0233,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.5875c6fd75f8e04(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6123, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.5588, root_relative_squared_error: 1.0678,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.7a7ae2088fae3ec(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6167, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3509, root_relative_squared_error: 1.0054,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.ae3bec5fd1f66184(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6527, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.4547, root_relative_squared_error: 1.0365,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.6643e8ec6c929d0f(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6521, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3628, root_relative_squared_error: 1.009,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.a6be183733124aae(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.5469, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.971, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3884, root_relative_squared_error: 1.0166,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.504cbd5c403f0224(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.5807, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.3908, root_relative_squared_error: 1.0173,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.8f97b566dd45a5bc(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.741, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.045, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.9392, root_relative_squared_error: 1.1819,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.a2b11779f10fc378(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.4571, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.318, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.7612, root_relative_squared_error: 1.4285,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.linear.Linear.4d9a774716ca0b5b(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.8268, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.4589, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 5.1225, root_relative_squared_error: 1.5369,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.75045b409e7cfb79(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.7622, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.0073, root_relative_squared_error: 1.2023,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.4a87fa3ac6006ad(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.7931, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0649, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.0484, root_relative_squared_error: 1.2147,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.ffb599c03aff4ed0(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.5777, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.6892, root_relative_squared_error: 1.1069,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.linear.Linear.507d364a1c3be670(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.6768, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.5701, root_relative_squared_error: 1.0711,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.e76b59c93519ef2a(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.7251, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0389, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.9115, root_relative_squared_error: 1.1736,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.744cd1aded844f69(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.719, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.8662, root_relative_squared_error: 1.16,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.1093f6de86bebb8a(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.7894, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0634, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.0664, root_relative_squared_error: 1.2201,
Adrian-Stefan Mares 6 years ago
ran flow torch.nn.modules.container.Sequential.76fb32a9bac2eab(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,
Nico Strasdat 6 years ago
ran flow sklearn.pipeline.Pipeline(scal ... hpo4svm.hpo.sklearn.HPOSVM)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4344, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 3.1156, root_relative_squared_error: 0.9348,
Nico Strasdat 6 years ago
ran flow sklearn.pipeline.Pipeline(scal ... hpo4svm.hpo.sklearn.HPOSVM)(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.3088, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 2.9414, root_relative_squared_error: 0.8825,
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.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,

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 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)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs