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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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PAVAN KUMAR PERUGU 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 4 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 4 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 4 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 4 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 4 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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)

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