OpenML
Supervised Classification on cmc

Supervised Classification on cmc

Task 1787 Supervised Classification cmc 301 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.5004, kappa: 0.2265, kb_relative_information_score: 1893.4331, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5015, predictive_accuracy: 0.4998, prior_entropy: 1.5392, recall: 0.4998, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0835, scimark_benchmark: 942.9708, usercpu_time_millis: 500, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5041, kappa: 0.2431, kb_relative_information_score: 1738.7178, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5164, predictive_accuracy: 0.4998, prior_entropy: 1.5392, recall: 0.4998, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.969, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.4934, kappa: 0.217, kb_relative_information_score: 1538.7931, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4969, predictive_accuracy: 0.4914, prior_entropy: 1.5392, recall: 0.4914, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9896, scimark_benchmark: 1318.6149, usercpu_time_millis: 4220, usercpu_time_millis_testing: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.5177, kappa: 0.2523, kb_relative_information_score: 1127.5061, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5229, predictive_accuracy: 0.5317, prior_entropy: 1.5392, recall: 0.5317, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9359, scimark_benchmark: 1347.5461, usercpu_time_millis: 800, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.5193, kappa: 0.2543, kb_relative_information_score: 1145.1404, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.525, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.935, scimark_benchmark: 909.1698, usercpu_time_millis: 510, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.5512, kappa: 0.3043, kb_relative_information_score: 1751.6821, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5545, predictive_accuracy: 0.5548, prior_entropy: 1.5392, recall: 0.5548, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9201, scimark_benchmark: 1345.3152, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.5422, kappa: 0.289, kb_relative_information_score: 1682.6886, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5465, predictive_accuracy: 0.5447, prior_entropy: 1.5392, recall: 0.5447, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9311, scimark_benchmark: 1331.2332, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.5472, kappa: 0.298, kb_relative_information_score: 1840.0459, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.549, predictive_accuracy: 0.5496, prior_entropy: 1.5392, recall: 0.5496, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9285, scimark_benchmark: 1344.4042, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.5087, kappa: 0.2446, kb_relative_information_score: 1545.0988, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5196, predictive_accuracy: 0.5045, prior_entropy: 1.5392, recall: 0.5045, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9483, scimark_benchmark: 1151.3336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.4481, kappa: 0.1552, kb_relative_information_score: 1549.1954, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4614, predictive_accuracy: 0.4454, prior_entropy: 1.5392, recall: 0.4454, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.3102, scimark_benchmark: 1449.4352, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.5164, kappa: 0.2555, kb_relative_information_score: 2354.0901, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5232, predictive_accuracy: 0.5317, prior_entropy: 1.5392, recall: 0.5317, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.514, root_relative_squared_error: 1.1074, scimark_benchmark: 1371.9645, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.5141, kappa: 0.2458, kb_relative_information_score: 1140.9406, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5194, predictive_accuracy: 0.5275, prior_entropy: 1.5392, recall: 0.5275, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9358, scimark_benchmark: 1322.4968, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5041, kappa: 0.2431, kb_relative_information_score: 1738.7178, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5164, predictive_accuracy: 0.4998, prior_entropy: 1.5392, recall: 0.4998, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.969, scimark_benchmark: 1111.828, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4846, kappa: 0.2036, kb_relative_information_score: 1418.797, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4943, predictive_accuracy: 0.4889, prior_entropy: 1.5392, recall: 0.4889, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1317.1597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.4402, kappa: 0.1356, kb_relative_information_score: 1484.9138, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4415, predictive_accuracy: 0.4391, prior_entropy: 1.5392, recall: 0.4391, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.603, root_relative_squared_error: 1.2993, scimark_benchmark: 1298.4923, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.4404, kappa: 0.1359, kb_relative_information_score: 1465.3911, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4431, predictive_accuracy: 0.4388, prior_entropy: 1.5392, recall: 0.4388, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.3179, scimark_benchmark: 996.6105, usercpu_time_millis: 500, usercpu_time_millis_testing: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5115, kappa: 0.2436, kb_relative_information_score: 2325.692, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.528, predictive_accuracy: 0.5313, prior_entropy: 1.5392, recall: 0.5313, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.559, root_relative_squared_error: 1.2044, scimark_benchmark: 765.566, usercpu_time_millis: 1740, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.2766, kappa: 0.0183, kb_relative_information_score: 91.3688, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.2751, predictive_accuracy: 0.432, prior_entropy: 1.5392, recall: 0.432, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9983, scimark_benchmark: 1327.9121, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.4467, kappa: 0.1463, kb_relative_information_score: 1383.4233, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.449, predictive_accuracy: 0.4542, prior_entropy: 1.5392, recall: 0.4542, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0956, 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: 0.712, f_measure: 0.5282, kappa: 0.2661, kb_relative_information_score: 1611.577, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.528, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9336, scimark_benchmark: 1351.6526, usercpu_time_millis: 620, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.5284, kappa: 0.2663, kb_relative_information_score: 1604.1811, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5284, predictive_accuracy: 0.532, prior_entropy: 1.5392, recall: 0.532, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9366, scimark_benchmark: 1322.7383, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5257, kappa: 0.2618, kb_relative_information_score: 1618.7727, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5263, predictive_accuracy: 0.5297, prior_entropy: 1.5392, recall: 0.5297, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9396, scimark_benchmark: 1313.6093, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5146, kappa: 0.245, kb_relative_information_score: 1620.0306, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5142, predictive_accuracy: 0.518, prior_entropy: 1.5392, recall: 0.518, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9486, scimark_benchmark: 1307.3764, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.5306, kappa: 0.2736, kb_relative_information_score: 2453.0325, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5398, predictive_accuracy: 0.5423, prior_entropy: 1.5392, recall: 0.5423, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1902, scimark_benchmark: 898.1296, usercpu_time_millis: 750, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5106, kappa: 0.2497, kb_relative_information_score: 1620.8764, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5243, predictive_accuracy: 0.5054, prior_entropy: 1.5392, recall: 0.5054, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 840.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.422, kappa: 0.0999, kb_relative_information_score: 1054.9401, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4212, predictive_accuracy: 0.4297, prior_entropy: 1.5392, recall: 0.4297, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.1004, scimark_benchmark: 1337.2572, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.4995, kappa: 0.2245, kb_relative_information_score: 1524.6256, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4979, predictive_accuracy: 0.5047, prior_entropy: 1.5392, recall: 0.5047, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.5443, kappa: 0.2926, kb_relative_information_score: 1580.2626, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5496, predictive_accuracy: 0.5454, prior_entropy: 1.5392, recall: 0.5454, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9361, scimark_benchmark: 1355.7054, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.4657, kappa: 0.1716, kb_relative_information_score: 1742.505, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4645, predictive_accuracy: 0.4673, prior_entropy: 1.5392, recall: 0.4673, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.284, scimark_benchmark: 1435.4217, usercpu_time_millis: 560, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.3669, kappa: 0.0582, kb_relative_information_score: 1218.1234, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.3949, predictive_accuracy: 0.4296, prior_entropy: 1.5392, recall: 0.4296, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6167, root_relative_squared_error: 1.3287, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4931, kappa: 0.2152, kb_relative_information_score: 1830.2707, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4937, predictive_accuracy: 0.4929, prior_entropy: 1.5392, recall: 0.4929, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0699, scimark_benchmark: 1384.4418, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.3927, kappa: 0.0672, kb_relative_information_score: 1169.6576, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.3969, predictive_accuracy: 0.4225, prior_entropy: 1.5392, recall: 0.4225, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.3369, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.5002, kappa: 0.2278, kb_relative_information_score: 2104.9421, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4993, predictive_accuracy: 0.5021, prior_entropy: 1.5392, recall: 0.5021, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.2414, scimark_benchmark: 1028.5889, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2556, kb_relative_information_score: 2.6856, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.5107, kappa: 0.2419, kb_relative_information_score: 1760.0843, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5094, predictive_accuracy: 0.5126, prior_entropy: 1.5392, recall: 0.5126, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0325, scimark_benchmark: 1054.3694, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.5205, build_memory: 399008587.1739, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.4397, build_memory: 815469981.4876, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.5536, build_memory: 1050822842.8644, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.537, build_memory: 798919220.1189, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.4274, build_memory: 734427467.8191, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, build_cpu_time: 0.0475, build_memory: 888755196.9629, f_measure: 0.5137, kappa: 0.2437, kb_relative_information_score: 1235.3766, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5138, predictive_accuracy: 0.5165, prior_entropy: 1.5392, recall: 0.5165, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9487, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0365, build_memory: 762432227.2521, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.042, build_memory: 61348377.4056, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0447, build_memory: 1739756494.3012, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0394, build_memory: 521534037.5332, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, build_cpu_time: 0.1786, build_memory: 1044824420.1743, f_measure: 0.4936, kappa: 0.2156, kb_relative_information_score: 2001.3384, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4928, predictive_accuracy: 0.4946, prior_entropy: 1.5392, recall: 0.4946, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1926, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.1495, build_memory: 2667587005.9177, f_measure: 0.4931, kappa: 0.2148, kb_relative_information_score: 1999.4813, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4923, predictive_accuracy: 0.4941, prior_entropy: 1.5392, recall: 0.4941, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1918, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.0765, build_memory: 2803983520.8896, f_measure: 0.493, kappa: 0.2147, kb_relative_information_score: 1997.5737, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4921, predictive_accuracy: 0.494, prior_entropy: 1.5392, recall: 0.494, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1912, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.0715, build_memory: 1721713686.2849, f_measure: 0.4932, kappa: 0.2152, kb_relative_information_score: 1997.4041, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4925, predictive_accuracy: 0.494, prior_entropy: 1.5392, recall: 0.494, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.1904, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, build_cpu_time: 0.036, build_memory: 534316624.1771, f_measure: 0.4906, kappa: 0.2113, kb_relative_information_score: 1985.6992, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.49, predictive_accuracy: 0.4914, prior_entropy: 1.5392, recall: 0.4914, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.19, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, build_cpu_time: 1.7739, build_memory: 1788806923.805, f_measure: 0.5077, kappa: 0.236, kb_relative_information_score: 2192.2599, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5062, predictive_accuracy: 0.5104, prior_entropy: 1.5392, recall: 0.5104, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1955, scimark_benchmark: 943.8094,

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