Task
Supervised Regression on cholesterol

Supervised Regression on cholesterol

Task 2295 Supervised Regression cholesterol 175 runs submitted
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PAVAN KUMAR PERUGU 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(4) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Tobias Oberkofler 2 years ago
ran flow torch.nn.modules.container.Sequential.2e1c4540e5937473(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.6943, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2132, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.8036, root_relative_squared_error: 1.2343,
Tobias Oberkofler 2 years ago
ran flow torch.nn.modules.container.Sequential.d72a335796574729(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.5222, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2088, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.4265, root_relative_squared_error: 1.227,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(2) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(2) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(2) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(3) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(2) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... del._base.LinearRegression)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Sharath Kumar Reddy Alijarla 2 years ago
ran flow sklearn.pipeline.Pipeline(pipe ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Victorien Fandos 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Victorien Fandos 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... r=sklearn.svm._classes.SVR)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,
Prabhant Singh 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.8150bebd(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 42.7405, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0872, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 56.994, root_relative_squared_error: 1.1026,
Prabhant Singh 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.d2a63ca2(2) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 43.1482, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 57.4551, root_relative_squared_error: 1.1115,
Prabhant Singh 5 years ago
ran flow torch.nn.modules.container.Sequential.e661c6d4bfeb5869(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 42.7599, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0877, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 54.096, root_relative_squared_error: 1.0465,
Prabhant Singh 5 years ago
ran flow torch.nn.modules.container.Sequential.463f77fdacfeba1b(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 48.7199, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2393, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 64.7734, root_relative_squared_error: 1.2531,
Prabhant Singh 5 years ago
ran flow torch.nn.modules.container.Sequential.b116396c3ce6f65f(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 48.5043, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2338, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 64.736, root_relative_squared_error: 1.2524,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6437364944.08, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 163742895.0544, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 9020362642.8072, root_relative_squared_error: 174504105.389,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1672107182.3708, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 42532258.6588, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2432642800.0336, root_relative_squared_error: 47060874.6411,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5396736431.5625, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 137273131.9144, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 7744661672.1827, root_relative_squared_error: 149824936.1097,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 641551238381.72, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 16318704626.959, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 803020453496.51, root_relative_squared_error: 15534892708.354,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3.57594775629E+14, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 9095896275335.6, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4.3925082346532E+14, root_relative_squared_error: 8497559912550.1,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6505242267.0757, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 165469444.5778, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 9374820068.3033, root_relative_squared_error: 181361288.2301,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4086955698516.9, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 103957125912.18, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4704151687173.1, root_relative_squared_error: 91004521025.409,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 14965226140715, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 380660328365.95, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 16654334756954, root_relative_squared_error: 322187688310.76,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5078403704912.7, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 129175917805.05, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5484809648085.2, root_relative_squared_error: 106106798447.97,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4283664248896.5, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 108960668169.13, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4572655957479.1, root_relative_squared_error: 88460660475.52,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6371468093.5176, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 162066721.4679, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 9766679870.8536, root_relative_squared_error: 188942041.5755,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 30296002402213, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 770618907737.48, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 32777538991749, root_relative_squared_error: 634100351072.72,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3931406503028, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 100000526307.53, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4369392929559.1, root_relative_squared_error: 84528420248.557,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3783797300034.4, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 96245890917.922, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4816752517907.3, root_relative_squared_error: 93182848883.324,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3713562895315.8, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 94459385902.136, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4531205873929.8, root_relative_squared_error: 87658784760.042,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5299047207918.7, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 134788277251.96, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5694445015329, root_relative_squared_error: 110162315245.61,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3954576609553.8, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 100589888624.91, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4390525883394.6, root_relative_squared_error: 84937249399.816,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5541007067804.6, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 140942846441.2, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5798571392975.6, root_relative_squared_error: 112176699932.58,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3693985620.1081, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 93961412.0032, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5892531493.2792, root_relative_squared_error: 113994412.135,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 12307652878.985, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 313061436.0436, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 17823573875.112, root_relative_squared_error: 344807291.7989,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 12165743134.745, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 309451773.9287, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 16207877856.331, root_relative_squared_error: 313550722.6894,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 42145923127470, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1072037320795.4, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 44241947698583, root_relative_squared_error: 855885933805.9,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 775567925545.89, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 19727596391.289, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 1101986678356, root_relative_squared_error: 21318566345.049,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 8380812799.2793, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 213177062.7554, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 14500294762.871, root_relative_squared_error: 280516545.251,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3713893410489.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 94467792992.897, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4341885701448.7, root_relative_squared_error: 83996277093.874,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 13088900717835, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 332933508545.18, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 14598127128939, root_relative_squared_error: 282409168662.55,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5473095987376.1, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 139215438252.87, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5988819930717.9, root_relative_squared_error: 115857167358.89,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5232133805070.5, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 133086246312.99, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5824613051552.3, root_relative_squared_error: 112680490801.39,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 17038420687.419, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 433394774.8417, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 22479916241.373, root_relative_squared_error: 434886914.0032,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 7850314566702.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 199683138272.59, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 8455484970463, root_relative_squared_error: 163576221802.69,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2826287447618.7, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 71890360877.346, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 3150254547666.1, root_relative_squared_error: 60943486792.781,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2307649179765.4, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 58698110290.029, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2524238726345, root_relative_squared_error: 48832850537.364,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1834215071309.7, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 46655687309.593, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2027883883031.1, root_relative_squared_error: 39230580504.79,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 634608081822.94, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 16142096252.938, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 843212511714.47, root_relative_squared_error: 16312431199.964,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 623621547564.37, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 15862639217.064, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 872348083483.37, root_relative_squared_error: 16876075599.625,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 751397859776.51, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 19112798787.439, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 971267596083.81, root_relative_squared_error: 18789730486.396,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 12883419180.752, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 327706813.7633, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 17581231963.961, root_relative_squared_error: 340119048.091,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 11907089387.862, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 302872573.6349, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 15311992522.014, root_relative_squared_error: 296219305.4297,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 23477083489.376, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 597170682.6285, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 30404437549.09, root_relative_squared_error: 588191338.2484,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 10303949196.5, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 262094581.6472, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 14393400152.257, root_relative_squared_error: 278448607.5045,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6962538827.8192, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 177101387.6795, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 11330301019.619, root_relative_squared_error: 219191192.3622,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 8874463711.9536, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 225733726.9013, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 13887800513.775, root_relative_squared_error: 268667491.5902,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 13031663238.954, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 331477597.5352, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 17417581858.674, root_relative_squared_error: 336953142.6445,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.4722999830221E+14, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 6288622133119.2, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2.775981142387E+14, root_relative_squared_error: 5370295242122.8,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5975933315.4909, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 152005771.0307, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 7901650326.7732, root_relative_squared_error: 152861971.9596,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3508615170729.6, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 89246269347.447, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 3775038614525.8, root_relative_squared_error: 73030294049.423,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5965871837075.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 151749844014.17, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 6170193692742.5, root_relative_squared_error: 119365947142.63,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4022427976389.4, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 102315777918.98, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4711031322223.3, root_relative_squared_error: 91137611523.804,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6873440728.8756, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 174835059.6413, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 12868203134.069, root_relative_squared_error: 248942793.632,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3455207832.139, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 87887783.0236, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4532427361.7985, root_relative_squared_error: 87682415.1457,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 15815181204.12, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 402280060.0352, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 25396618840.013, root_relative_squared_error: 491312203.9628,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 11073745100.056, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 281675359.0218, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 16280182147.583, root_relative_squared_error: 314949490.8055,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1.3432701018087E+14, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 3416785240869.3, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 1.4642272629882E+14, root_relative_squared_error: 2832631887783.9,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5868714739.6686, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 149278524.6867, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 10180107747.005, root_relative_squared_error: 196940041.7145,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 9585221576969.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 243812793648.52, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 10356276280204, root_relative_squared_error: 200348123351.67,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 31660484190182, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 805326307450.24, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 34289531543528, root_relative_squared_error: 663350716945.02,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1660151627678.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 42228153306.015, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2106278851502.2, root_relative_squared_error: 40747176276.132,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4010696703780.8, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 102017377477.76, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4805241907505.4, root_relative_squared_error: 92960169502.217,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4788017332756, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 121789556199.9, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5038126514821.1, root_relative_squared_error: 97465456226.014,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4722264798823.5, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 120117053497.81, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5195293097830.7, root_relative_squared_error: 100505934203.58,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4490882430431, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 114231536800.49, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4625326253389, root_relative_squared_error: 89479597654.91,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4523503029755.1, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 115061284906.76, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4985277069301.7, root_relative_squared_error: 96443053294.352,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4607969556241.6, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 117209802771.17, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4844891791315.5, root_relative_squared_error: 93727219317.955,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4434180229.3858, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 112789241.2905, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5676874781.9453, root_relative_squared_error: 109822408.9714,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2027452237535.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 51570930317.367, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2108595323916.7, root_relative_squared_error: 40791989767.823,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 83231550967529, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 2117104628008.9, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 88101157320498, root_relative_squared_error: 1704367579301.9,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5434541862820.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 138234763081.29, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 6044703958102.1, root_relative_squared_error: 116938276022.74,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3375317569372, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 85855668482.075, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4089148260777.3, root_relative_squared_error: 79106925886.045,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3732888385404.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 94950955313.366, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4392893850288.7, root_relative_squared_error: 84983059081.844,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4543913838982.4, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 115580460846.35, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5236553694777.8, root_relative_squared_error: 101304144191.72,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4806083971294.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 122249105056.27, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5216707624042.6, root_relative_squared_error: 100920210534.47,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3761165414333.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 95670218959.377, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 3925183694757.4, root_relative_squared_error: 75934937015.775,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6385485296.7007, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 162423267.578, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 10238332804.053, root_relative_squared_error: 198066438.9442,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4899437242.306, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 124623669.0263, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 7312081378.383, root_relative_squared_error: 141456421.4315,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6644271535.6064, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 169005837.9817, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 8954621763.5024, root_relative_squared_error: 173232310.2534,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 220643841694.49, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 5612368061.9061, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 541681272663.96, root_relative_squared_error: 10479135887.908,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 658774854276.46, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 16756810086.943, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 994723117617.55, root_relative_squared_error: 19243491046.116,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 59894907126.375, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1523506213.6578, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 82787447476, root_relative_squared_error: 1601570805.0003,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 7232336087.7918, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 183964037.9734, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 11524465812.691, root_relative_squared_error: 222947422.0012,
Christian Geißler 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... stic_gradient.SGDRegressor)(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 9973940566.5323, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 253700375.4878, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 14076849756.132, root_relative_squared_error: 272324757.9572,

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 cholesterol (1)
target_feature chol

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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