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Function: require_once

OpenML
Task
Supervised Classification on hiva_agnostic

Supervised Classification on hiva_agnostic

Task 3892 Supervised Classification hiva_agnostic 220 runs submitted
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220 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.9591, kappa: 0.324, kb_relative_information_score: -1544.2199, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9564, predictive_accuracy: 0.9643, prior_entropy: 0.221, recall: 0.9643, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.9701, scimark_benchmark: 1318.1432, usercpu_time_millis: 274910, usercpu_time_millis_testing: 274910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9475, kb_relative_information_score: 926.1285, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 1313.9994, usercpu_time_millis: 21470, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 21360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.9563, kappa: 0.2073, kb_relative_information_score: 1168.4857, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9597, predictive_accuracy: 0.9674, prior_entropy: 0.221, recall: 0.9674, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.9798, scimark_benchmark: 869.6028, usercpu_time_millis: 212690, usercpu_time_millis_testing: 56570, usercpu_time_millis_training: 156120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.9451, kappa: 0.2588, kb_relative_information_score: -1321.1842, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9501, predictive_accuracy: 0.9406, prior_entropy: 0.221, recall: 0.9406, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2436, root_relative_squared_error: 1.3214, scimark_benchmark: 1310.3951, usercpu_time_millis: 39350, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 39170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.9585, kappa: 0.2821, kb_relative_information_score: -2059.1062, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9568, predictive_accuracy: 0.9662, prior_entropy: 0.221, recall: 0.9662, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.171, root_relative_squared_error: 0.9277, scimark_benchmark: 1304.9611, usercpu_time_millis: 43500, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 43240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.9477, kappa: 0.2751, kb_relative_information_score: -946.6321, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.951, predictive_accuracy: 0.9447, prior_entropy: 0.221, recall: 0.9447, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2352, root_relative_squared_error: 1.2759, scimark_benchmark: 940.3347, usercpu_time_millis: 1160, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.9506, kappa: 0.0731, kb_relative_information_score: 884.5077, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9585, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.182, root_relative_squared_error: 0.9873, scimark_benchmark: 937.1527, usercpu_time_millis: 378250, usercpu_time_millis_testing: 198950, usercpu_time_millis_training: 179300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9475, kb_relative_information_score: 926.1285, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 1372.2145, usercpu_time_millis: 31190, usercpu_time_millis_testing: 15680, usercpu_time_millis_training: 15510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.9028, kappa: 0.1215, kb_relative_information_score: -8367.3382, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9445, predictive_accuracy: 0.8702, prior_entropy: 0.221, recall: 0.8702, relative_absolute_error: 1.9018, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.3534, root_relative_squared_error: 1.9171, scimark_benchmark: 1028.5889, usercpu_time_millis: 4270, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.9571, kappa: 0.2897, kb_relative_information_score: 375.4296, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9539, predictive_accuracy: 0.9626, prior_entropy: 0.221, recall: 0.9626, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1883, root_relative_squared_error: 1.0216, scimark_benchmark: 890.2894, usercpu_time_millis: 143800, usercpu_time_millis_testing: 111990, usercpu_time_millis_training: 31810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.9604, kappa: 0.3141, kb_relative_information_score: -2478.3363, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9599, predictive_accuracy: 0.9678, prior_entropy: 0.221, recall: 0.9678, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.8908, scimark_benchmark: 1307.4861, usercpu_time_millis: 6350, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.9508, kappa: 0.2618, kb_relative_information_score: -285.6578, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9498, predictive_accuracy: 0.9518, prior_entropy: 0.221, recall: 0.9518, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.1913, scimark_benchmark: 1325.942, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.9524, kappa: 0.124, kb_relative_information_score: -546.785, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9535, predictive_accuracy: 0.9655, prior_entropy: 0.221, recall: 0.9655, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.9778, scimark_benchmark: 1372.2145, usercpu_time_millis: 4130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.9509, kappa: 0.099, kb_relative_information_score: -173.891, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9485, predictive_accuracy: 0.9643, prior_entropy: 0.221, recall: 0.9643, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.9922, scimark_benchmark: 1287.514, usercpu_time_millis: 92810, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 92780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.9567, kappa: 0.2272, kb_relative_information_score: 1102.3883, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9571, predictive_accuracy: 0.9667, prior_entropy: 0.221, recall: 0.9667, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.9904, scimark_benchmark: 825.5282, usercpu_time_millis: 212800, usercpu_time_millis_testing: 102080, usercpu_time_millis_training: 110720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.9501, kappa: 0.0696, kb_relative_information_score: 926.1285, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9497, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 1290.1085, usercpu_time_millis: 1162220, usercpu_time_millis_testing: 192120, usercpu_time_millis_training: 970100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.954, kappa: 0.3044, kb_relative_information_score: -692.175, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9528, predictive_accuracy: 0.9553, prior_entropy: 0.221, recall: 0.9553, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2069, root_relative_squared_error: 1.122, scimark_benchmark: 1358.4523, usercpu_time_millis: 57530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 57500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.9517, kappa: 0.112, kb_relative_information_score: 948.1609, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9515, predictive_accuracy: 0.965, prior_entropy: 0.221, recall: 0.965, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1871, root_relative_squared_error: 1.0147, scimark_benchmark: 1465.2979, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.9509, kappa: 0.1059, kb_relative_information_score: 815.9661, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.947, predictive_accuracy: 0.9636, prior_entropy: 0.221, recall: 0.9636, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1908, root_relative_squared_error: 1.035, scimark_benchmark: 1353.5686, usercpu_time_millis: 11700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.9475, kb_relative_information_score: -18.2277, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1844, root_relative_squared_error: 1, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.9542, kappa: 0.2151, kb_relative_information_score: -17.0831, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9502, predictive_accuracy: 0.9622, prior_entropy: 0.221, recall: 0.9622, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1892, root_relative_squared_error: 1.026, scimark_benchmark: 1353.5686, usercpu_time_millis: 27620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 27610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.9012, kappa: 0.1531, kb_relative_information_score: -9010.8564, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9487, predictive_accuracy: 0.8659, prior_entropy: 0.221, recall: 0.8659, relative_absolute_error: 1.9233, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.3471, root_relative_squared_error: 1.8827, scimark_benchmark: 889.9795, usercpu_time_millis: 137800, usercpu_time_millis_testing: 45230, usercpu_time_millis_training: 92570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.9307, kappa: 0.2335, kb_relative_information_score: -5941.6977, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9512, predictive_accuracy: 0.9149, prior_entropy: 0.221, recall: 0.9149, relative_absolute_error: 1.3266, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2743, root_relative_squared_error: 1.4876, scimark_benchmark: 945.6434, usercpu_time_millis: 557550, usercpu_time_millis_testing: 177220, usercpu_time_millis_training: 380330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.9285, kappa: 0.2192, kb_relative_information_score: -8348.1293, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9503, predictive_accuracy: 0.9116, prior_entropy: 0.221, recall: 0.9116, relative_absolute_error: 1.4623, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2655, root_relative_squared_error: 1.4403, scimark_benchmark: 923.7642, usercpu_time_millis: 286430, usercpu_time_millis_testing: 86180, usercpu_time_millis_training: 200250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.9261, kappa: 0.1993, kb_relative_information_score: -9554.6788, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9488, predictive_accuracy: 0.9083, prior_entropy: 0.221, recall: 0.9083, relative_absolute_error: 1.5514, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.265, root_relative_squared_error: 1.4376, scimark_benchmark: 939.7623, usercpu_time_millis: 290690, usercpu_time_millis_testing: 88410, usercpu_time_millis_training: 202280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.9475, kb_relative_information_score: 928.5452, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1873, root_relative_squared_error: 1.0159, scimark_benchmark: 936.6206, usercpu_time_millis: 236220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 236180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.9475, kb_relative_information_score: 930.6074, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1875, root_relative_squared_error: 1.0169, scimark_benchmark: 926.6717, usercpu_time_millis: 122670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 122640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.9475, kb_relative_information_score: 926.194, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0178, scimark_benchmark: 938.2848, usercpu_time_millis: 60820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.9475, kb_relative_information_score: 926.0662, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.018, scimark_benchmark: 936.6206, usercpu_time_millis: 30130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.9475, kb_relative_information_score: 926.0871, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 938.4285, usercpu_time_millis: 23570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 23550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9605, kappa: 0.3416, kb_relative_information_score: -2023.5235, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9582, predictive_accuracy: 0.9659, prior_entropy: 0.221, recall: 0.9659, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.9424, scimark_benchmark: 933.8635, usercpu_time_millis: 364490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 364470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.9577, kappa: 0.2414, kb_relative_information_score: -2190.5875, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9596, predictive_accuracy: 0.9676, prior_entropy: 0.221, recall: 0.9676, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9351, scimark_benchmark: 932.3943, usercpu_time_millis: 30180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.9536, kappa: 0.1536, kb_relative_information_score: -2060.47, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9543, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9433, scimark_benchmark: 931.2336, usercpu_time_millis: 15710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 15690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.9475, kb_relative_information_score: -18.2277, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1844, root_relative_squared_error: 1, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.9389, kappa: 0.1304, kb_relative_information_score: -4818.3069, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9409, predictive_accuracy: 0.9369, prior_entropy: 0.221, recall: 0.9369, relative_absolute_error: 1.2123, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2605, root_relative_squared_error: 1.4128, scimark_benchmark: 902.4773, usercpu_time_millis: 72900, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 72760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9509, kappa: 0.099, kb_relative_information_score: -3014.2392, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9485, predictive_accuracy: 0.9643, prior_entropy: 0.221, recall: 0.9643, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.9581, scimark_benchmark: 947.9494, usercpu_time_millis: 15260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 15240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.96, kappa: 0.3176, kb_relative_information_score: -4140.9727, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9583, predictive_accuracy: 0.9667, prior_entropy: 0.221, recall: 0.9667, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.941, scimark_benchmark: 930.32, usercpu_time_millis: 2050, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.9509, kappa: 0.099, kb_relative_information_score: -15312.1358, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9485, predictive_accuracy: 0.9643, prior_entropy: 0.221, recall: 0.9643, relative_absolute_error: 1.5155, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1908, root_relative_squared_error: 1.035, scimark_benchmark: 932.3943, usercpu_time_millis: 4450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.9529, kappa: 0.1348, kb_relative_information_score: -2060.1635, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9545, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.9528, scimark_benchmark: 911.0478, usercpu_time_millis: 25350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 25330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9475, kb_relative_information_score: 926.1285, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 902.4773, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.9542, kappa: 0.2151, kb_relative_information_score: -17.0831, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9502, predictive_accuracy: 0.9622, prior_entropy: 0.221, recall: 0.9622, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1892, root_relative_squared_error: 1.026, scimark_benchmark: 904.3001, usercpu_time_millis: 67840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 67780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.9558, kappa: 0.239, kb_relative_information_score: 7.8651, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9527, predictive_accuracy: 0.9638, prior_entropy: 0.221, recall: 0.9638, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9824, scimark_benchmark: 933.8635, usercpu_time_millis: 5237970, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5237950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9475, kb_relative_information_score: -1222.0296, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.9665, scimark_benchmark: 901.0726, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.9564, kappa: 0.3412, kb_relative_information_score: -1049.4405, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9553, predictive_accuracy: 0.9577, prior_entropy: 0.221, recall: 0.9577, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.9935, scimark_benchmark: 901.0726, usercpu_time_millis: 9999770, usercpu_time_millis_testing: 9999710, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.9617, kappa: 0.3581, kb_relative_information_score: 1189.6362, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9601, predictive_accuracy: 0.9674, prior_entropy: 0.221, recall: 0.9674, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.9771, scimark_benchmark: 904.3001, usercpu_time_millis: 3734930, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 3734390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.9619, kappa: 0.3636, kb_relative_information_score: 1168.7684, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9602, predictive_accuracy: 0.9674, prior_entropy: 0.221, recall: 0.9674, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.9794, scimark_benchmark: 942.1229, usercpu_time_millis: 7156460, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 7155150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.9524, kappa: 0.2986, kb_relative_information_score: -412.9969, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9523, predictive_accuracy: 0.9525, prior_entropy: 0.221, recall: 0.9525, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2136, root_relative_squared_error: 1.1584, scimark_benchmark: 948.1045, usercpu_time_millis: 29760, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 29650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.9553, kappa: 0.2247, kb_relative_information_score: -2449.6034, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9522, predictive_accuracy: 0.9638, prior_entropy: 0.221, recall: 0.9638, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.97, scimark_benchmark: 902.4773, usercpu_time_millis: 759190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 759140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.9563, kappa: 0.2073, kb_relative_information_score: 1168.4857, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9597, predictive_accuracy: 0.9674, prior_entropy: 0.221, recall: 0.9674, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.9798, scimark_benchmark: 943.2817, usercpu_time_millis: 261510, usercpu_time_millis_testing: 69890, usercpu_time_millis_training: 191620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9496, kappa: 0.2779, kb_relative_information_score: -616.1449, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.951, predictive_accuracy: 0.9482, prior_entropy: 0.221, recall: 0.9482, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.2343, scimark_benchmark: 947.4269, usercpu_time_millis: 20350, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 20190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.9572, kappa: 0.2366, kb_relative_information_score: -1458.8301, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9577, predictive_accuracy: 0.9669, prior_entropy: 0.221, recall: 0.9669, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, build_cpu_time: 715.5963, build_memory: 616015400.611, f_measure: 0.9563, kappa: 0.2178, kb_relative_information_score: -1638.9327, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9565, predictive_accuracy: 0.9664, prior_entropy: 0.221, recall: 0.9664, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.9179, scimark_benchmark: 922.3442,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

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

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

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

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

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs