OpenML
Supervised Classification on cpu

Supervised Classification on cpu

Task 3661 Supervised Classification cpu 583 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9189, kappa: 0.7865, kb_relative_information_score: 148.9851, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9192, predictive_accuracy: 0.9187, prior_entropy: 0.8205, recall: 0.9187, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6066, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9393, kappa: 0.8444, kb_relative_information_score: 172.9473, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9449, predictive_accuracy: 0.9378, prior_entropy: 0.8205, recall: 0.9378, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.5003, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9441, kappa: 0.8572, kb_relative_information_score: 172.3177, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9506, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.513, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9758, kappa: 0.9356, kb_relative_information_score: 193.5039, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.6807, kappa: 0.1086, kb_relative_information_score: 65.1991, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8216, predictive_accuracy: 0.7656, prior_entropy: 0.8205, recall: 0.7656, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9568, kappa: 0.8855, kb_relative_information_score: 178.1107, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4715, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 174.3997, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9809, kappa: 0.9494, kb_relative_information_score: 183.2498, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3247, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9668, kappa: 0.9131, kb_relative_information_score: 186.1301, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9676, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4186, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 174.3575, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5248, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9715, kappa: 0.9251, kb_relative_information_score: 184.6181, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9719, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3948, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.891, kb_relative_information_score: 178.6835, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9612, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.438, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4726, f_measure: 0.638, kb_relative_information_score: -0.7232, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.0003, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 202.2519, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2248, usercpu_time_millis: 417.195, usercpu_time_millis_testing: 6.644, usercpu_time_millis_training: 410.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8756, kappa: 0.6714, kb_relative_information_score: 132.2675, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8756, predictive_accuracy: 0.8756, prior_entropy: 0.8205, recall: 0.8756, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.8107, usercpu_time_millis: 14.986, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 14.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754, usercpu_time_millis: 21.178, usercpu_time_millis_testing: 1.937, usercpu_time_millis_training: 19.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9757, kappa: 0.9348, kb_relative_information_score: 193.5039, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9768, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3555, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.9153, kappa: 0.7693, kb_relative_information_score: 158.5117, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9193, predictive_accuracy: 0.9187, prior_entropy: 0.8205, recall: 0.9187, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.6555, usercpu_time_millis: 7.885, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 7.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754, usercpu_time_millis: 16.444, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 16.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.962, kappa: 0.9001, kb_relative_information_score: 184.7558, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9624, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4497, usercpu_time_millis: 2.674, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 2.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.9253, kappa: 0.7965, kb_relative_information_score: 164.3437, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9298, predictive_accuracy: 0.9282, prior_entropy: 0.8205, recall: 0.9282, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6158, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9809, kappa: 0.9494, kb_relative_information_score: 196.4199, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.318, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9522, kappa: 0.8736, kb_relative_information_score: 178.9238, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028, usercpu_time_millis: 2.187, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.8322, kappa: 0.529, kb_relative_information_score: 117.6874, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8622, predictive_accuracy: 0.8517, prior_entropy: 0.8205, recall: 0.8517, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8852, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9351, kappa: 0.8354, kb_relative_information_score: 167.2597, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9441, predictive_accuracy: 0.933, prior_entropy: 0.8205, recall: 0.933, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5949, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.7003, kappa: 0.1601, kb_relative_information_score: 71.0311, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8272, predictive_accuracy: 0.7751, prior_entropy: 0.8205, recall: 0.7751, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.09, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9617, kappa: 0.8989, kb_relative_information_score: 184.7558, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4497, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9809, kappa: 0.9494, kb_relative_information_score: 196.4199, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.318, usercpu_time_millis: 44.386, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 41.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 187.6719, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4206, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9807, kappa: 0.9488, kb_relative_information_score: 196.4199, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.318, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9522, kappa: 0.8736, kb_relative_information_score: 178.9238, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 1.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9512, kappa: 0.8687, kb_relative_information_score: 178.9238, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9523, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028, usercpu_time_millis: 26.494, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 25.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 178.9238, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5028, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 1.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 176.0078, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5273, usercpu_time_millis: 1.585, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9904, kappa: 0.9744, kb_relative_information_score: 202.2519, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9906, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2248, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.638, kb_relative_information_score: 53.535, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.1575, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.239,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 150.3789, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4776, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 169.6056, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4089, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 181.3508, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3696, scimark_benchmark: 931.771, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 181.3508, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3696, scimark_benchmark: 936.3373, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 944.0133, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 150.3789, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4776, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 944.0133,

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

OpenML bootcamp

From your own software

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

OpenML APIs