OpenML
Supervised Classification on ar3

Supervised Classification on ar3

Task 4615 Supervised Classification ar3 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9212, kappa: 0.6551, kb_relative_information_score: 326.7719, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9243, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.85, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.2947, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9133, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9212, kappa: 0.6551, kb_relative_information_score: 326.7719, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9243, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.85, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.8848, kappa: 0.4567, kb_relative_information_score: 222.6158, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8814, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9853, scimark_benchmark: 1318.5627, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.8823, kappa: 0.4252, kb_relative_information_score: 183.2687, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8797, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9616, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.8156, kappa: 0.0991, kb_relative_information_score: 74.5615, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8019, predictive_accuracy: 0.8333, prior_entropy: 0.5802, recall: 0.8333, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3922, root_relative_squared_error: 1.1773, scimark_benchmark: 1384.4422, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.2947, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9133, scimark_benchmark: 1349.7981, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.8613, kappa: 0.3177, kb_relative_information_score: 99.2856, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8556, predictive_accuracy: 0.8762, prior_entropy: 0.5802, recall: 0.8762, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3431, root_relative_squared_error: 1.0298, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.885, kappa: 0.4464, kb_relative_information_score: 188.8181, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8817, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.95, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8896, kappa: 0.4846, kb_relative_information_score: 226.9955, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8868, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.9375, scimark_benchmark: 1217.7855, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.8823, kappa: 0.4252, kb_relative_information_score: 183.2687, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8797, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9616, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.8761, kappa: 0.3773, kb_relative_information_score: 137.4254, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8778, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.8627, scimark_benchmark: 1227.9507, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.8823, kappa: 0.4252, kb_relative_information_score: 183.2687, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8797, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9616, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9212, kappa: 0.6551, kb_relative_information_score: 326.7719, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9243, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.85, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.8152, kappa: 0.027, kb_relative_information_score: 112.5333, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7911, predictive_accuracy: 0.8603, prior_entropy: 0.5802, recall: 0.8603, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8871, scimark_benchmark: 1345.7582, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.2947, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9133, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.9048, kappa: 0.5194, kb_relative_information_score: 266.3039, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9187, predictive_accuracy: 0.919, prior_entropy: 0.5802, recall: 0.919, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8427, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8845, kappa: 0.4373, kb_relative_information_score: 176.4506, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.882, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9428, scimark_benchmark: 1335.5424, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8896, kappa: 0.4846, kb_relative_information_score: 226.9955, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8868, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.9375, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.8194, kappa: 0.0491, kb_relative_information_score: 111.7105, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8016, predictive_accuracy: 0.8635, prior_entropy: 0.5802, recall: 0.8635, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.8874, scimark_benchmark: 1345.3152, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.8249, kappa: 0.0829, kb_relative_information_score: 113.3599, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8124, predictive_accuracy: 0.8651, prior_entropy: 0.5802, recall: 0.8651, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8855, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.8823, kappa: 0.4252, kb_relative_information_score: 217.569, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8797, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9674, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.8832, kappa: 0.4436, kb_relative_information_score: 246.6823, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8795, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9001, scimark_benchmark: 1318.5627, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8866, kappa: 0.4597, kb_relative_information_score: 242.7671, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8832, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.894, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.8503, kappa: 0.2311, kb_relative_information_score: 97.3875, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8495, predictive_accuracy: 0.8778, prior_entropy: 0.5802, recall: 0.8778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8747, scimark_benchmark: 1314.0383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.8789, kappa: 0.4319, kb_relative_information_score: 210.4053, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8754, predictive_accuracy: 0.8841, prior_entropy: 0.5802, recall: 0.8841, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3362, root_relative_squared_error: 1.0092, scimark_benchmark: 1354.8751, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.7042, kappa: 0.0402, kb_relative_information_score: -565.995, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7906, predictive_accuracy: 0.6508, prior_entropy: 0.5802, recall: 0.6508, relative_absolute_error: 1.5164, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.5909, root_relative_squared_error: 1.7738, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9055, kappa: 0.5564, kb_relative_information_score: 231.7033, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9033, predictive_accuracy: 0.9095, prior_entropy: 0.5802, recall: 0.9095, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.8828, scimark_benchmark: 1205.8291, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.8529, kappa: 0.3695, kb_relative_information_score: -1020.4397, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8615, predictive_accuracy: 0.846, prior_entropy: 0.5802, recall: 0.846, relative_absolute_error: 1.6367, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.2983, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.8922, kappa: 0.5008, kb_relative_information_score: -1270.6324, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.89, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 1.9129, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.3635, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.9221, kappa: 0.641, kb_relative_information_score: 343.3578, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9209, predictive_accuracy: 0.9238, prior_entropy: 0.5802, recall: 0.9238, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.276, root_relative_squared_error: 0.8285, scimark_benchmark: 898.1296, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.8772, kappa: 0.4061, kb_relative_information_score: 137.6944, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8732, predictive_accuracy: 0.8873, prior_entropy: 0.5802, recall: 0.8873, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.9413, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.2947, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9133, scimark_benchmark: 1346.3935,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.8512, kappa: 0.3234, kb_relative_information_score: 105.4457, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.85, predictive_accuracy: 0.8524, prior_entropy: 0.5802, recall: 0.8524, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.1533, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.835, kappa: 0.1457, kb_relative_information_score: 25.9591, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8275, predictive_accuracy: 0.8683, prior_entropy: 0.5802, recall: 0.8683, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.024, scimark_benchmark: 1327.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 105.451, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3445, root_relative_squared_error: 1.0341, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.8932, kappa: 0.5234, kb_relative_information_score: 237.6191, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8944, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9861, scimark_benchmark: 1336.2976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 174.1759, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.898, kappa: 0.5315, kb_relative_information_score: 209.2658, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8964, predictive_accuracy: 0.9, prior_entropy: 0.5802, recall: 0.9, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.9296, scimark_benchmark: 1337.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.8858, kappa: 0.4532, kb_relative_information_score: 242.906, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8824, predictive_accuracy: 0.8937, prior_entropy: 0.5802, recall: 0.8937, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9789, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.8837, kappa: 0.4416, kb_relative_information_score: 237.6191, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8802, predictive_accuracy: 0.8921, prior_entropy: 0.5802, recall: 0.8921, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9861, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3739, f_measure: 0.8138, kb_relative_information_score: -27.0154, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0039, scimark_benchmark: 1480.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8941, kappa: 0.5172, kb_relative_information_score: 187.455, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.893, predictive_accuracy: 0.8952, prior_entropy: 0.5802, recall: 0.8952, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9522, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, build_cpu_time: 4.7569, build_memory: 442860296.8889, f_measure: 0.8902, kappa: 0.4663, kb_relative_information_score: 18.0145, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8883, predictive_accuracy: 0.9, prior_entropy: 0.5802, recall: 0.9, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.8612, scimark_benchmark: 942.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0106, build_memory: 2146684726.4889, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.7078, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9149, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0132, build_memory: 587595788.4571, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.7078, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9149, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0066, build_memory: 1050797248.0762, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.7078, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9149, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.006, build_memory: 1037702392.7873, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.7078, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9149, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.006, build_memory: 1561480386.3492, f_measure: 0.8798, kappa: 0.4155, kb_relative_information_score: 160.7078, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8763, predictive_accuracy: 0.8905, prior_entropy: 0.5802, recall: 0.8905, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9149, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, build_cpu_time: 0.1292, build_memory: 54036057.9175, f_measure: 0.8849, kappa: 0.4351, kb_relative_information_score: 185.8949, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8834, predictive_accuracy: 0.8968, prior_entropy: 0.5802, recall: 0.8968, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.8636, scimark_benchmark: 946.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, build_cpu_time: 0.2175, build_memory: 408272741.3968, f_measure: 0.8858, kappa: 0.4423, kb_relative_information_score: 186.7657, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.8838, predictive_accuracy: 0.8968, prior_entropy: 0.5802, recall: 0.8968, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.8593, scimark_benchmark: 949.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 0.1172, build_memory: 52182365.854, f_measure: 0.9128, kappa: 0.6006, kb_relative_information_score: 187.653, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9117, predictive_accuracy: 0.9143, prior_entropy: 0.5802, recall: 0.9143, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.8024, scimark_benchmark: 945.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 0.1029, build_memory: 101786138.7175, f_measure: 0.9128, kappa: 0.6006, kb_relative_information_score: 187.653, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2303, number_of_instances: 630, precision: 0.9117, predictive_accuracy: 0.9143, prior_entropy: 0.5802, recall: 0.9143, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.8024, scimark_benchmark: 938.667,

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