OpenML
Supervised Classification on stock

Supervised Classification on stock

Task 4411 Supervised Classification stock 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 1344.4042, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1281.7531, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9692, kappa: 0.9383, kb_relative_information_score: 8750.5807, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9995, recall: 0.9692, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3146, scimark_benchmark: 1341.2425, usercpu_time_millis: 5650, usercpu_time_millis_testing: 5650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1350.907, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9537, kappa: 0.9073, kb_relative_information_score: 8374.6851, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9995, recall: 0.9537, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3749, scimark_benchmark: 1318.5627, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1293.6566, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8235, kappa: 0.6585, kb_relative_information_score: 4927.9215, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8719, predictive_accuracy: 0.8278, prior_entropy: 0.9995, recall: 0.8278, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7149, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.953, kappa: 0.9058, kb_relative_information_score: 8485.567, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.953, predictive_accuracy: 0.9529, prior_entropy: 0.9995, recall: 0.9529, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3766, scimark_benchmark: 1337.5749, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1339.9935, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 854.5188, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9533, kappa: 0.9065, kb_relative_information_score: 8151.4912, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9995, recall: 0.9533, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3696, scimark_benchmark: 1347.388, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9469, kappa: 0.8938, kb_relative_information_score: 8350.9009, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.9995, recall: 0.9469, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4326, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 8653.4414, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.959, predictive_accuracy: 0.9589, prior_entropy: 0.9995, recall: 0.9589, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3679, scimark_benchmark: 929.0363, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8917, kappa: 0.7843, kb_relative_information_score: 7318.9724, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8969, predictive_accuracy: 0.8919, prior_entropy: 0.9995, recall: 0.8919, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.5981, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1316.5986, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9626, kappa: 0.9252, kb_relative_information_score: 7927.1728, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9627, predictive_accuracy: 0.9626, prior_entropy: 0.9995, recall: 0.9626, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3573, scimark_benchmark: 1320.9026, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9323, kappa: 0.8645, kb_relative_information_score: 7279.2276, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9323, predictive_accuracy: 0.9323, prior_entropy: 0.9995, recall: 0.9323, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4558, scimark_benchmark: 1449.4352, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9501, kappa: 0.9001, kb_relative_information_score: 8357.7577, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9502, predictive_accuracy: 0.9501, prior_entropy: 0.9995, recall: 0.9501, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3805, scimark_benchmark: 1311.3846, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8235, kappa: 0.6585, kb_relative_information_score: 5391.9815, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8719, predictive_accuracy: 0.8278, prior_entropy: 0.9995, recall: 0.8278, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6502, scimark_benchmark: 1261.7298, usercpu_time_millis: 1880, usercpu_time_millis_testing: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 8016.4277, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9995, recall: 0.94, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4495, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8868.341, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3598, scimark_benchmark: 1330.6247, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8883.3151, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3603, scimark_benchmark: 1327.5791, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8289, kappa: 0.6672, kb_relative_information_score: 3293.3602, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8687, predictive_accuracy: 0.8323, prior_entropy: 0.9995, recall: 0.8323, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7628, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8235, kappa: 0.6585, kb_relative_information_score: 4943.3192, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8719, predictive_accuracy: 0.8278, prior_entropy: 0.9995, recall: 0.8278, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7151, scimark_benchmark: 1327.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9166, kappa: 0.833, kb_relative_information_score: 7146.7352, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9168, predictive_accuracy: 0.9166, prior_entropy: 0.9995, recall: 0.9166, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4843, scimark_benchmark: 765.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1340.4336, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9633, kappa: 0.9265, kb_relative_information_score: 7919.2679, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9633, predictive_accuracy: 0.9633, prior_entropy: 0.9995, recall: 0.9633, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3568, scimark_benchmark: 1317.0962, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 1360.2999, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9644, kappa: 0.9288, kb_relative_information_score: 8615.2887, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.9995, recall: 0.9644, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3324, scimark_benchmark: 942.9518, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8303, kappa: 0.6602, kb_relative_information_score: 6272.5064, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8303, predictive_accuracy: 0.8303, prior_entropy: 0.9995, recall: 0.8303, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8242, scimark_benchmark: 889.3151, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.724, kappa: 0.451, kb_relative_information_score: 4264.3461, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.7297, predictive_accuracy: 0.7247, prior_entropy: 0.9995, recall: 0.7247, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0497, scimark_benchmark: 1315.395, usercpu_time_millis: 560, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8515, kappa: 0.7038, kb_relative_information_score: 6696.963, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8604, predictive_accuracy: 0.8526, prior_entropy: 0.9995, recall: 0.8526, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7681, scimark_benchmark: 1318.5526, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8401, kappa: 0.68, kb_relative_information_score: 5686.9418, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8409, predictive_accuracy: 0.8403, prior_entropy: 0.9995, recall: 0.8403, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6524, scimark_benchmark: 1333.5799, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7413, kappa: 0.4823, kb_relative_information_score: 4588.695, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.7423, predictive_accuracy: 0.7418, prior_entropy: 0.9995, recall: 0.7418, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0167, scimark_benchmark: 912.5006, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9255, kappa: 0.8509, kb_relative_information_score: 7025.5118, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 0.9995, recall: 0.9256, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4734, scimark_benchmark: 934.6432, usercpu_time_millis: 8260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1304.6687, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9554, kappa: 0.9107, kb_relative_information_score: 8651.0652, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9995, recall: 0.9554, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4227, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9431, kappa: 0.886, kb_relative_information_score: 8109.744, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9995, recall: 0.9431, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4413, scimark_benchmark: 1327.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9488, kappa: 0.8976, kb_relative_information_score: 8345.1011, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.9995, recall: 0.9488, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4315, scimark_benchmark: 1319.6463, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9503, kappa: 0.9006, kb_relative_information_score: 8554.9618, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.9995, recall: 0.9503, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.446, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6489, kappa: 0.3459, kb_relative_information_score: 3377.3919, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.7506, predictive_accuracy: 0.6781, prior_entropy: 0.9995, recall: 0.6781, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5674, root_relative_squared_error: 1.1351, scimark_benchmark: 1442.7264, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9421, kappa: 0.8842, kb_relative_information_score: 8277.8516, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9423, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4458, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8572, kappa: 0.7141, kb_relative_information_score: 6783.0557, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8572, predictive_accuracy: 0.8572, prior_entropy: 0.9995, recall: 0.8572, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7562, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9463, kappa: 0.8925, kb_relative_information_score: 8478.88, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9995, recall: 0.9463, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4636, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.3486, kb_relative_information_score: -0.1161, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9519, kappa: 0.9038, kb_relative_information_score: 8450.9535, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 0.9995, recall: 0.9519, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4242, scimark_benchmark: 1445.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 130.6411, build_memory: 179626361.44, f_measure: 0.9614, kappa: 0.9227, kb_relative_information_score: 8470.3622, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9995, recall: 0.9614, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3318, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 5.6743, build_memory: 1401740390.96, f_measure: 0.9654, kappa: 0.9307, kb_relative_information_score: 8843.276, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.9995, recall: 0.9654, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3701, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, build_cpu_time: 3.3147, build_memory: 1098750605.04, f_measure: 0.9657, kappa: 0.9313, kb_relative_information_score: 8852.1964, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9995, recall: 0.9657, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3651, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 1.3601, build_memory: 125719770.56, f_measure: 0.9655, kappa: 0.9309, kb_relative_information_score: 8842.8234, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9995, recall: 0.9655, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3651, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, build_cpu_time: 0.7255, build_memory: 63520821.6, f_measure: 0.9634, kappa: 0.9267, kb_relative_information_score: 8807.5395, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9995, recall: 0.9634, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3725, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.3796, build_memory: 298591425.76, f_measure: 0.9577, kappa: 0.9153, kb_relative_information_score: 8687.9519, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9995, recall: 0.9577, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.396, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.3618, build_memory: 571788825.12, f_measure: 0.9577, kappa: 0.9153, kb_relative_information_score: 8687.9519, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9995, recall: 0.9577, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.396, scimark_benchmark: 941.5665,

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