Task
Supervised Classification on autos

Supervised Classification on autos

Task 1889 Supervised Classification autos 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.113, build_memory: 5000360058.002, f_measure: 0.8246, kappa: 0.7714, kb_relative_information_score: 1414.1627, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8345, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 925.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.0611, build_memory: 1435315275.4263, f_measure: 0.8246, kappa: 0.7715, kb_relative_information_score: 1409.0119, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.833, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5982, scimark_benchmark: 906.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.0616, build_memory: 3448250484.5073, f_measure: 0.8246, kappa: 0.7715, kb_relative_information_score: 1409.0119, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.833, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5982, scimark_benchmark: 909.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, build_cpu_time: 0.221, build_memory: 225548700.8234, f_measure: 0.829, kappa: 0.7765, kb_relative_information_score: 1415.7404, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8382, predictive_accuracy: 0.8288, prior_entropy: 2.3268, recall: 0.8288, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5864, scimark_benchmark: 924.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 3.808, build_memory: 845790171.0712, f_measure: 0.8028, kappa: 0.7429, kb_relative_information_score: 1342.7448, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8127, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6228, scimark_benchmark: 723.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 1.8935, build_memory: 1075643012.2849, f_measure: 0.7984, kappa: 0.7369, kb_relative_information_score: 1340.5315, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8092, predictive_accuracy: 0.8005, prior_entropy: 2.3268, recall: 0.8005, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.625, scimark_benchmark: 756.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, build_cpu_time: 0.4482, build_memory: 397416322.3063, f_measure: 0.8308, kappa: 0.7791, kb_relative_information_score: 1418.3784, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8401, predictive_accuracy: 0.8307, prior_entropy: 2.3268, recall: 0.8307, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5842, scimark_benchmark: 946.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 1331.2332, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8004, kappa: 0.7398, kb_relative_information_score: 1541.0057, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8038, predictive_accuracy: 0.8005, prior_entropy: 2.3268, recall: 0.8005, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6673, scimark_benchmark: 1327.2954, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1326.8946, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1278.6629, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.733, kappa: 0.6544, kb_relative_information_score: 1356.2131, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7346, predictive_accuracy: 0.7327, prior_entropy: 2.3268, recall: 0.7327, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7509, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.6767, kappa: 0.5844, kb_relative_information_score: 1228.102, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6769, predictive_accuracy: 0.6795, prior_entropy: 2.3268, recall: 0.6795, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9121, scimark_benchmark: 1380.2233, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7496, kappa: 0.6764, kb_relative_information_score: 1390.0604, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7507, predictive_accuracy: 0.7498, prior_entropy: 2.3268, recall: 0.7498, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7503, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7337, kappa: 0.6534, kb_relative_information_score: 1355.9402, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7402, predictive_accuracy: 0.7346, prior_entropy: 2.3268, recall: 0.7346, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.83, scimark_benchmark: 1435.4217, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7284, kappa: 0.6501, kb_relative_information_score: 1334.34, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7299, predictive_accuracy: 0.7317, prior_entropy: 2.3268, recall: 0.7317, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7655, scimark_benchmark: 825.5282, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.5922, kappa: 0.4803, kb_relative_information_score: 1027.1963, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5902, predictive_accuracy: 0.6059, prior_entropy: 2.3268, recall: 0.6059, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8595, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, f_measure: 0.3255, kappa: 0.1662, kb_relative_information_score: 198.4147, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.97, predictive_accuracy: 0.2151, prior_entropy: 2.3268, recall: 0.2151, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.4274, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 1367.8403, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8084, kappa: 0.7499, kb_relative_information_score: 1471.1957, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8131, predictive_accuracy: 0.8083, prior_entropy: 2.3268, recall: 0.8083, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6248, scimark_benchmark: 1343.4572, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.7692, kappa: 0.6986, kb_relative_information_score: 1483.3607, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.775, predictive_accuracy: 0.7702, prior_entropy: 2.3268, recall: 0.7702, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6822, scimark_benchmark: 1356.9539, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.161, kb_relative_information_score: 2.7585, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.615, kappa: 0.5057, kb_relative_information_score: 1062.7067, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6261, predictive_accuracy: 0.6322, prior_entropy: 2.3268, recall: 0.6322, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9771, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8161, kappa: 0.7615, kb_relative_information_score: 1547.2693, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8199, predictive_accuracy: 0.8166, prior_entropy: 2.3268, recall: 0.8166, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.6442, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7455, kappa: 0.6707, kb_relative_information_score: 1336.8451, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7458, predictive_accuracy: 0.7468, prior_entropy: 2.3268, recall: 0.7468, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.7086, scimark_benchmark: 1337.7959, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7556, kappa: 0.6828, kb_relative_information_score: 1423.1825, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7556, predictive_accuracy: 0.7556, prior_entropy: 2.3268, recall: 0.7556, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7628, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.326, kappa: 0.1284, kb_relative_information_score: 399.684, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3203, predictive_accuracy: 0.34, prior_entropy: 2.3268, recall: 0.34, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.3089, scimark_benchmark: 912.5006, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.6955, kappa: 0.6102, kb_relative_information_score: 370.8093, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6966, predictive_accuracy: 0.7, prior_entropy: 2.3268, recall: 0.7, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.9357, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.7526, kappa: 0.6794, kb_relative_information_score: 1384.4457, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7533, predictive_accuracy: 0.7532, prior_entropy: 2.3268, recall: 0.7532, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7194, scimark_benchmark: 1314.0383, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.405, kappa: 0.2655, kb_relative_information_score: 579.8294, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5676, predictive_accuracy: 0.4741, prior_entropy: 2.3268, recall: 0.4741, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.9167, scimark_benchmark: 926.6704, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6183, kappa: 0.5052, kb_relative_information_score: 1098.3427, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6191, predictive_accuracy: 0.618, prior_entropy: 2.3268, recall: 0.618, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9566, scimark_benchmark: 1316.7714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7413, kappa: 0.6614, kb_relative_information_score: 1346.2663, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7515, predictive_accuracy: 0.7376, prior_entropy: 2.3268, recall: 0.7376, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8111, scimark_benchmark: 1305.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7359, kappa: 0.6585, kb_relative_information_score: 1341.9634, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7366, predictive_accuracy: 0.739, prior_entropy: 2.3268, recall: 0.739, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7546, scimark_benchmark: 932.0242, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8279, kappa: 0.7767, kb_relative_information_score: 1455.3653, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8291, predictive_accuracy: 0.8283, prior_entropy: 2.3268, recall: 0.8283, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5695, scimark_benchmark: 942.5233, usercpu_time_millis: 540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8268, kappa: 0.7754, kb_relative_information_score: 1452.0994, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8279, predictive_accuracy: 0.8273, prior_entropy: 2.3268, recall: 0.8273, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.5616, scimark_benchmark: 939.7241, usercpu_time_millis: 1210, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8346, kappa: 0.7857, kb_relative_information_score: 1457.0797, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8361, predictive_accuracy: 0.8351, prior_entropy: 2.3268, recall: 0.8351, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.555, scimark_benchmark: 851.2074, usercpu_time_millis: 7500, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 4940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8302, kappa: 0.7798, kb_relative_information_score: 1455.1357, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8313, predictive_accuracy: 0.8307, prior_entropy: 2.3268, recall: 0.8307, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5587, scimark_benchmark: 934.7923, usercpu_time_millis: 2740, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 1366.7181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 1327.3335, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8337, kappa: 0.7842, kb_relative_information_score: 1610.1072, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8339, predictive_accuracy: 0.8337, prior_entropy: 2.3268, recall: 0.8337, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6057, scimark_benchmark: 1320.9366, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.6028, kappa: 0.4906, kb_relative_information_score: 173.7218, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6257, predictive_accuracy: 0.6224, prior_entropy: 2.3268, recall: 0.6224, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9935, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.161, kb_relative_information_score: 2.7585, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8124, kappa: 0.757, kb_relative_information_score: 1544.6271, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8176, predictive_accuracy: 0.8132, prior_entropy: 2.3268, recall: 0.8132, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.6515, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1314.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7387, kappa: 0.6582, kb_relative_information_score: 1315.0225, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7441, predictive_accuracy: 0.74, prior_entropy: 2.3268, recall: 0.74, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7605, scimark_benchmark: 1319.59, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 936.1714,

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

How to submit runs

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

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