Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, build_cpu_time: 1.1537, build_memory: 428505637.9578, f_measure: 0.875, kappa: 0.2219, kb_relative_information_score: -175.0164, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9214, scimark_benchmark: 945.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, build_cpu_time: 2.3255, build_memory: 2040711005.1337, f_measure: 0.87, kappa: 0.1808, kb_relative_information_score: -177.8257, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8645, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9106, scimark_benchmark: 945.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 4.4518, build_memory: 920326613.2003, f_measure: 0.8752, kappa: 0.2128, kb_relative_information_score: -147.0491, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8737, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.902, scimark_benchmark: 944.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 4.6973, build_memory: 870698893.6302, f_measure: 0.8752, kappa: 0.2128, kb_relative_information_score: -147.0491, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8737, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.902, scimark_benchmark: 945.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 9.3523, build_memory: 254691639.3039, f_measure: 0.8754, kappa: 0.2102, kb_relative_information_score: -146.3935, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.876, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9045, scimark_benchmark: 939.7171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, build_cpu_time: 52.5499, build_memory: 50478144.3429, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -98.7419, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9189, scimark_benchmark: 876.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, build_cpu_time: 61.2894, build_memory: 236472760.9878, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -98.7419, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9189, scimark_benchmark: 947.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 25.3463, build_memory: 305977237.4766, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -101.197, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9213, scimark_benchmark: 937.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, build_cpu_time: 2.2179, build_memory: 966331931.9565, f_measure: 0.8546, kappa: 0.0549, kb_relative_information_score: 321.3233, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8427, predictive_accuracy: 0.8932, prior_entropy: 0.478, recall: 0.8932, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0322, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, build_cpu_time: 4.5257, build_memory: 90000894.7153, f_measure: 0.8576, kappa: 0.0929, kb_relative_information_score: 272.2096, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8443, predictive_accuracy: 0.8887, prior_entropy: 0.478, recall: 0.8887, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0516, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 8.4673, build_memory: 1448228041.0646, f_measure: 0.862, kappa: 0.1184, kb_relative_information_score: 331.6187, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8538, predictive_accuracy: 0.8932, prior_entropy: 0.478, recall: 0.8932, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.0473, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, build_cpu_time: 16.8758, build_memory: 1100201196.0486, f_measure: 0.8669, kappa: 0.1795, kb_relative_information_score: 280.8736, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.857, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.0648, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, build_cpu_time: 34.5117, build_memory: 1503810332.801, f_measure: 0.8771, kappa: 0.2433, kb_relative_information_score: 377.6436, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8711, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0406, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, build_cpu_time: 1135.9474, build_memory: 201171403.9411, f_measure: 0.8808, kappa: 0.2586, kb_relative_information_score: -486.3344, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.912, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, build_cpu_time: 601.0705, build_memory: 254638367.6622, f_measure: 0.8783, kappa: 0.2451, kb_relative_information_score: -496.3878, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8739, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9143, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, build_cpu_time: 284.0245, build_memory: 1749579139.7108, f_measure: 0.8743, kappa: 0.2224, kb_relative_information_score: -490.5138, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8678, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9179, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, build_cpu_time: 176.2587, build_memory: 1331047108.0384, f_measure: 0.8762, kappa: 0.2396, kb_relative_information_score: -532.4403, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8695, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9317, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, build_cpu_time: 60.0789, build_memory: 256878432.1024, f_measure: 0.8686, kappa: 0.1999, kb_relative_information_score: -516.111, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.859, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9438, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, build_cpu_time: 0.0033, build_memory: 256536596.4171, f_measure: 0.8492, kb_relative_information_score: -355.9905, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9396, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, build_cpu_time: 2.6133, build_memory: 1958582016.4351, f_measure: 0.854, kappa: 0.0431, kb_relative_information_score: 376.215, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8472, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0454, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, build_cpu_time: 0.0054, build_memory: 209267132.151, f_measure: 0.8492, kb_relative_information_score: -348.0542, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9398, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, build_cpu_time: 5.4625, build_memory: 2029446073.1619, f_measure: 0.8511, kappa: 0.0222, kb_relative_information_score: 299.4194, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8347, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.0189, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, build_cpu_time: 0.0184, build_memory: 38376910.6897, f_measure: 0.8492, kb_relative_information_score: -363.3243, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9398, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, build_cpu_time: 10.1427, build_memory: 569534934.6027, f_measure: 0.8564, kappa: 0.0662, kb_relative_information_score: 279.6469, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8481, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3117, root_relative_squared_error: 1.0281, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, build_cpu_time: 0.0247, build_memory: 967898911.7031, f_measure: 0.8492, kb_relative_information_score: -335.9647, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.9383, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, build_cpu_time: 0.055, build_memory: 869132548.2585, f_measure: 0.8492, kb_relative_information_score: -338.0481, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.9382, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, build_cpu_time: 2687.4808, build_memory: 170084967.9079, f_measure: 0.8584, kappa: 0.1131, kb_relative_information_score: -58.1955, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8448, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.9453, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, build_cpu_time: 1107.1431, build_memory: 410063161.4843, f_measure: 0.8588, kappa: 0.1145, kb_relative_information_score: -44.063, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8455, predictive_accuracy: 0.8855, prior_entropy: 0.478, recall: 0.8855, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.9447, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 1.3354, build_memory: 917357456.2559, f_measure: 0.6166, kappa: 0.1091, kb_relative_information_score: -4498.5882, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8768, predictive_accuracy: 0.5317, prior_entropy: 0.478, recall: 0.5317, relative_absolute_error: 2.4854, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.572, root_relative_squared_error: 1.8869, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, build_cpu_time: 1.3032, build_memory: 271752734.5617, f_measure: 0.8492, kb_relative_information_score: 221.9516, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9836, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 2.3622, build_memory: 628025750.9968, f_measure: 0.8636, kappa: 0.1205, kb_relative_information_score: -126.619, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8616, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9032, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, build_cpu_time: 0.3374, build_memory: 97465017.0595, f_measure: 0.8492, kb_relative_information_score: 188.9367, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 0.2776, build_memory: 541310335.7134, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: 171.9533, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, build_cpu_time: 0.0818, build_memory: 1274579991.4012, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: 168.9853, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3055, root_relative_squared_error: 1.008, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 5.7074, build_memory: 2344291716.1408, f_measure: 0.8702, kappa: 0.1745, kb_relative_information_score: -214.0693, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8681, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9001, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, build_cpu_time: 19.279, build_memory: 788544430.3058, f_measure: 0.876, kappa: 0.2095, kb_relative_information_score: -210.3445, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8805, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8926, scimark_benchmark: 941.7677,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 0.9386, build_memory: 3017004502.183, f_measure: 0.8765, kappa: 0.2718, kb_relative_information_score: 299.4928, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8694, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0517, scimark_benchmark: 931.9671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.787, build_memory: 529186947.4242, f_measure: 0.877, kappa: 0.2766, kb_relative_information_score: 297.1284, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.87, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3187, root_relative_squared_error: 1.0513, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, build_cpu_time: 2.0008, build_memory: 1484098752.8343, f_measure: 0.8636, kappa: 0.2065, kb_relative_information_score: 17.005, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8557, predictive_accuracy: 0.874, prior_entropy: 0.478, recall: 0.874, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0706, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, build_cpu_time: 2.6375, build_memory: 653399237.1695, f_measure: 0.8688, kappa: 0.2404, kb_relative_information_score: 95.1428, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8619, predictive_accuracy: 0.8778, prior_entropy: 0.478, recall: 0.8778, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3171, root_relative_squared_error: 1.046, scimark_benchmark: 923.9118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, build_cpu_time: 73.7634, build_memory: 974693993.1926, f_measure: 0.8841, kappa: 0.3153, kb_relative_information_score: 327.0982, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.0243, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, build_cpu_time: 37.6434, build_memory: 873210670.1164, f_measure: 0.8775, kappa: 0.2813, kb_relative_information_score: 273.4495, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.0289, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, build_cpu_time: 18.9475, build_memory: 633670067.2758, f_measure: 0.8817, kappa: 0.3032, kb_relative_information_score: 227.6177, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8754, predictive_accuracy: 0.8925, prior_entropy: 0.478, recall: 0.8925, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.003, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, build_cpu_time: 9.4229, build_memory: 237897842.1599, f_measure: 0.8761, kappa: 0.2875, kb_relative_information_score: 52.9078, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8704, predictive_accuracy: 0.8836, prior_entropy: 0.478, recall: 0.8836, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3095, root_relative_squared_error: 1.0212, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, build_cpu_time: 5.2316, build_memory: 230394678.2649, f_measure: 0.8615, kappa: 0.2028, kb_relative_information_score: -129.8684, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8545, predictive_accuracy: 0.8701, prior_entropy: 0.478, recall: 0.8701, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3177, root_relative_squared_error: 1.0479, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, build_cpu_time: 35.8241, build_memory: 756442777.1568, f_measure: 0.8737, kappa: 0.2584, kb_relative_information_score: 224.3619, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8664, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.326, root_relative_squared_error: 1.0753, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 65.0359, build_memory: 57502165.0825, f_measure: 0.8746, kappa: 0.2586, kb_relative_information_score: 250.1738, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8671, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3238, root_relative_squared_error: 1.0683, scimark_benchmark: 942.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, build_cpu_time: 89.3077, build_memory: 1381623570.4312, f_measure: 0.8733, kappa: 0.2535, kb_relative_information_score: 249.6431, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8657, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3235, root_relative_squared_error: 1.0673, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, build_cpu_time: 93.8716, build_memory: 1741065257.2386, f_measure: 0.8732, kappa: 0.2502, kb_relative_information_score: 249.1389, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8654, predictive_accuracy: 0.8855, prior_entropy: 0.478, recall: 0.8855, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3236, root_relative_squared_error: 1.0675, scimark_benchmark: 924.9295,

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