OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.1008, build_memory: 188624024.1204, f_measure: 0.8386, kappa: 0.653, kb_relative_information_score: 997.7629, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8422, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.6732, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.1156, build_memory: 1096600894.4398, f_measure: 0.8386, kappa: 0.653, kb_relative_information_score: 997.7629, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8422, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.6732, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.1246, build_memory: 433591913.7639, f_measure: 0.8386, kappa: 0.653, kb_relative_information_score: 997.7629, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8422, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.6732, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 0.5726, build_memory: 129608738.7731, f_measure: 0.9862, kappa: 0.9698, kb_relative_information_score: 1514.6429, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9863, predictive_accuracy: 0.9861, prior_entropy: 1.2099, recall: 0.9861, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.3052, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, build_cpu_time: 0.0136, build_memory: 458678136.2639, f_measure: 0.5768, kb_relative_information_score: 393.525, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.1398, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, build_cpu_time: 0.0131, build_memory: 149873141.537, f_measure: 0.5768, kb_relative_information_score: 392.2551, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3837, root_relative_squared_error: 1.1349, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 6.6207, build_memory: 1043965412.5694, f_measure: 0.9931, kappa: 0.9849, kb_relative_information_score: 1503.1751, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2858, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0046, build_memory: 736862606.5602, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.99, build_memory: 1021045413.8333, f_measure: 0.9466, kappa: 0.8857, kb_relative_information_score: 1261.8255, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4914, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 1.976, build_memory: 831374133.4352, f_measure: 0.9482, kappa: 0.8886, kb_relative_information_score: 1263.8329, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9494, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4892, scimark_benchmark: 925.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 4.1948, build_memory: 1049609475.4444, f_measure: 0.9497, kappa: 0.8923, kb_relative_information_score: 1262.4201, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9514, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4893, scimark_benchmark: 939.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.2409, build_memory: 503368722.9444, f_measure: 0.9481, kappa: 0.8876, kb_relative_information_score: 1297.0781, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9491, predictive_accuracy: 0.9479, prior_entropy: 1.2099, recall: 0.9479, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4738, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, build_cpu_time: 0.1967, build_memory: 1822084480.9444, f_measure: 0.922, kappa: 0.833, kb_relative_information_score: 1355.5516, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9249, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4916, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 0.3532, build_memory: 243074420.5833, f_measure: 0.927, kappa: 0.8433, kb_relative_information_score: 1356.2644, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4909, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, build_cpu_time: 28.3624, build_memory: 1729011633.3009, f_measure: 0.9403, kappa: 0.8704, kb_relative_information_score: -11.1345, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9412, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 1.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 8.4412, build_memory: 303526642.7083, f_measure: 0.9408, kappa: 0.8713, kb_relative_information_score: -11.2234, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9417, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 1.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9445, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 4.2164, build_memory: 576125796.8843, f_measure: 0.9407, kappa: 0.8712, kb_relative_information_score: -10.5571, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9417, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 1.1204, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 4.9383, build_memory: 2577253008.6667, f_measure: 0.9407, kappa: 0.8712, kb_relative_information_score: -10.5571, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9417, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 1.1204, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 2.069, build_memory: 272412463.4491, f_measure: 0.9375, kappa: 0.8644, kb_relative_information_score: -11.5108, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9382, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 1.1205, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9451, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.5258, build_memory: 230839179.2269, f_measure: 0.9367, kappa: 0.8619, kb_relative_information_score: 1282.9492, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9376, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5113, scimark_benchmark: 943.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0005, build_memory: 1021318127.3657, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0008, build_memory: 379095914.3056, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0008, build_memory: 496272913.5741, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 0.0231, build_memory: 77864380.4815, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 0.0232, build_memory: 279914275.9306, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 0.0319, build_memory: 437248952.9537, f_measure: 0.9258, kappa: 0.839, kb_relative_information_score: 1371.6632, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9275, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.484, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.0055, build_memory: 28074093.25, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 0.2846, build_memory: 655131910.2407, f_measure: 0.9344, kappa: 0.8569, kb_relative_information_score: 1458.5453, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4468, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 0.2223, build_memory: 354110631.5833, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, build_cpu_time: 1.2611, build_memory: 666581779.5694, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.0014, build_memory: 78258848.5509, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, build_cpu_time: 0.2476, build_memory: 649808567.5648, f_measure: 0.8917, kappa: 0.7684, kb_relative_information_score: 1195.3368, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9011, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6224, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.112, build_memory: 659788959.713, f_measure: 0.955, kappa: 0.9026, kb_relative_information_score: 1295.6528, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.0024, build_memory: 207160924.213, f_measure: 0.9053, kappa: 0.8012, kb_relative_information_score: 1127.0336, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9097, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5959, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.0096, build_memory: 1070793586.7407, f_measure: 0.9387, kappa: 0.8731, kb_relative_information_score: 1213.6381, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5314, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 3.84, build_memory: 776423926.4213, f_measure: 0.9879, kappa: 0.9734, kb_relative_information_score: 1666.3841, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2215, scimark_benchmark: 913.4921,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.1665, build_memory: 1474516526.4074, f_measure: 0.9512, kappa: 0.8949, kb_relative_information_score: 1294.0607, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9526, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.0048, build_memory: 893416403.0926, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.005, build_memory: 705718927.8056, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.0037, build_memory: 2326628115.8287, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.0065, build_memory: 2067871489.625, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.0061, build_memory: 467642782.7037, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.2924, build_memory: 102844861.9398, f_measure: 0.9684, kappa: 0.9311, kb_relative_information_score: 1594.1601, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9692, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3391, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.1967, build_memory: 78927718.713, f_measure: 0.9684, kappa: 0.931, kb_relative_information_score: 1592.5544, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9691, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3407, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.1218, build_memory: 807237615.2315, f_measure: 0.9661, kappa: 0.9259, kb_relative_information_score: 1582.7052, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 1.2099, recall: 0.9659, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.3534, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.1069, build_memory: 147270445.2917, f_measure: 0.9643, kappa: 0.9222, kb_relative_information_score: 1578.3436, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9647, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3512, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.0428, build_memory: 747751623.9167, f_measure: 0.9549, kappa: 0.9019, kb_relative_information_score: 1538.5304, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.385, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 3.3716, build_memory: 165471317.2963, f_measure: 0.9435, kappa: 0.8763, kb_relative_information_score: 1515.8989, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9438, predictive_accuracy: 0.9433, prior_entropy: 1.2099, recall: 0.9433, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4301, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 7.2693, build_memory: 829826145.9583, f_measure: 0.9447, kappa: 0.879, kb_relative_information_score: 1524.1593, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9451, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4245, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 8.7194, build_memory: 1777730930.25, f_measure: 0.9441, kappa: 0.8777, kb_relative_information_score: 1524.4219, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9445, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4245, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 9.1391, build_memory: 1833779473.2639, f_measure: 0.9441, kappa: 0.8777, kb_relative_information_score: 1524.4219, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9445, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4245, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 7.077, build_memory: 737015893.8472, f_measure: 0.9441, kappa: 0.8777, kb_relative_information_score: 1524.4219, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9445, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4245, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 936.1546, usercpu_time_millis: 2350, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9387, kappa: 0.8731, kb_relative_information_score: 1213.6381, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5314, scimark_benchmark: 915.2795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9879, kappa: 0.9734, kb_relative_information_score: 1666.3841, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2215, scimark_benchmark: 902.4773, usercpu_time_millis: 4190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9913, kappa: 0.981, kb_relative_information_score: 1684.2486, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1918, scimark_benchmark: 942.1229, usercpu_time_millis: 8180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9728, kappa: 0.941, kb_relative_information_score: 1594.6349, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3436, scimark_benchmark: 1160.1034, usercpu_time_millis: 1150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.969, kappa: 0.9334, kb_relative_information_score: 1576.9313, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9695, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3567, scimark_benchmark: 942.0096, usercpu_time_millis: 490, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9709, kappa: 0.9372, kb_relative_information_score: 1584.9401, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9715, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3544, scimark_benchmark: 947.0793, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 947.0793, usercpu_time_millis: 8050, usercpu_time_millis_testing: 2620, usercpu_time_millis_training: 5430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9342, kappa: 0.8587, kb_relative_information_score: 67.2109, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9355, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 1.0756, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.8604, scimark_benchmark: 947.9494, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,

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