OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, kappa: 0.5778, kb_relative_information_score: 802.9697, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8333, prior_entropy: 1.2099, recall: 0.8333, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9633, kappa: 0.92, kb_relative_information_score: 1503.7268, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9656, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9287, kappa: 0.8448, kb_relative_information_score: 1409.4785, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.931, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.901, kappa: 0.8151, kb_relative_information_score: 1073.5804, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9172, predictive_accuracy: 0.9161, prior_entropy: 1.2099, recall: 0.9161, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9019, kappa: 0.8048, kb_relative_information_score: 995.1844, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9108, predictive_accuracy: 0.9155, prior_entropy: 1.2099, recall: 0.9155, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8297, kappa: 0.6544, kb_relative_information_score: 1075.3046, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8747, predictive_accuracy: 0.816, prior_entropy: 1.2099, recall: 0.816, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.245, root_relative_squared_error: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, kappa: 0.5591, kb_relative_information_score: 614.7592, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.82, prior_entropy: 1.2099, recall: 0.82, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1117.4396, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9749, kappa: 0.9455, kb_relative_information_score: 1563.0044, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9761, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8746, kappa: 0.7343, kb_relative_information_score: 1114.8543, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8867, predictive_accuracy: 0.8715, prior_entropy: 1.2099, recall: 0.8715, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9615, kappa: 0.9165, kb_relative_information_score: 1443.6358, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9512, kappa: 0.8953, kb_relative_information_score: 1344.9527, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9508, prior_entropy: 1.2099, recall: 0.9508, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1118.2803, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8737, kappa: 0.732, kb_relative_information_score: 1118.7151, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8857, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.7579, kappa: 0.5269, kb_relative_information_score: 640.5091, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8469, predictive_accuracy: 0.7269, prior_entropy: 1.2099, recall: 0.7269, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9602, kappa: 0.9138, kb_relative_information_score: 1423.4045, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9627, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 1108.3612, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8755, predictive_accuracy: 0.8177, prior_entropy: 1.2099, recall: 0.8177, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9124, kappa: 0.8348, kb_relative_information_score: 1106.0757, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9229, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8746, kappa: 0.7343, kb_relative_information_score: 1111.1276, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8867, predictive_accuracy: 0.8715, prior_entropy: 1.2099, recall: 0.8715, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, kappa: 0.1024, kb_relative_information_score: 638.6341, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.717, prior_entropy: 1.2099, recall: 0.717, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1715.0545, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0099, root_relative_squared_error: 0.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.7803, kappa: 0.5685, kb_relative_information_score: 783.5184, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8541, predictive_accuracy: 0.7569, prior_entropy: 1.2099, recall: 0.7569, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8753, kappa: 0.7364, kb_relative_information_score: 1100.1249, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8877, predictive_accuracy: 0.8727, prior_entropy: 1.2099, recall: 0.8727, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, kappa: 0.6226, kb_relative_information_score: 678.5209, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8362, prior_entropy: 1.2099, recall: 0.8362, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8209, kappa: 0.6398, kb_relative_information_score: 998.8846, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8706, predictive_accuracy: 0.8061, prior_entropy: 1.2099, recall: 0.8061, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.7682, kappa: 0.5452, kb_relative_information_score: 712.4162, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8494, predictive_accuracy: 0.7407, prior_entropy: 1.2099, recall: 0.7407, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8737, kappa: 0.732, kb_relative_information_score: 1119.7933, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8857, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.211, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 4.7067, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -9.338, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8737, kappa: 0.732, kb_relative_information_score: 1119.8277, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8857, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.211, root_relative_squared_error: 0.624,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -60.9417, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0293, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,

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

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

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

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From your own software

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

OpenML APIs