Task
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.2445, build_memory: 1774162448.8, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.5544, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8062, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, build_cpu_time: 0.0115, build_memory: 979599657.6, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 57.4535, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8466, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0475, build_memory: 755427388.8, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0884, build_memory: 615435323.2, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, build_cpu_time: 0.0697, build_memory: 1699072780, f_measure: 0.6294, kappa: 0.243, kb_relative_information_score: 22.2546, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1363, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, build_cpu_time: 0.0412, build_memory: 954927855.2, f_measure: 0.6294, kappa: 0.243, kb_relative_information_score: 22.2546, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1363, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, build_cpu_time: 0.0423, build_memory: 1128680923.2, f_measure: 0.6294, kappa: 0.243, kb_relative_information_score: 22.2546, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1363, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, build_cpu_time: 0.0343, build_memory: 948373150.4, f_measure: 0.6495, kappa: 0.284, kb_relative_information_score: 23.9234, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6491, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1219, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, build_cpu_time: 0.0058, build_memory: 500092191.2, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 57.1846, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7907, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8359, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, build_cpu_time: 0.022, build_memory: 1143328165.6, f_measure: 0.6695, kappa: 0.3249, kb_relative_information_score: 29.3304, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6691, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.065, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 0.0365, build_memory: 1276515576, f_measure: 0.8187, kappa: 0.6286, kb_relative_information_score: 62.4765, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8506, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, build_cpu_time: 0.0499, build_memory: 1290941634.4, f_measure: 0.8187, kappa: 0.6286, kb_relative_information_score: 63.2295, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8354, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.1407, build_memory: 264194340.8, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 64.2069, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8364, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 51.5026, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7589, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9739, scimark_benchmark: 945.3151, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 941.8057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 27.7864, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8133, scimark_benchmark: 947.9494, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6808, kappa: 0.3509, kb_relative_information_score: 34.6639, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6821, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.096, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6683, kappa: 0.321, kb_relative_information_score: 32.1144, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6678, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1603, scimark_benchmark: 947.4269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 940.3346, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7879, kappa: 0.5654, kb_relative_information_score: 56.3965, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.87, scimark_benchmark: 927.0753, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 55.1508, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.936, scimark_benchmark: 770.3451, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 38.6899, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7907, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8382, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8005, kappa: 0.5943, kb_relative_information_score: 40.8789, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8016, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7883, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7503, kappa: 0.4915, kb_relative_information_score: 42.4211, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.954, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, build_cpu_time: 0.0926, build_memory: 441515314.4, f_measure: 0.6608, kappa: 0.3103, kb_relative_information_score: 22.3732, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6622, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0988, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 56.4983, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7709, scimark_benchmark: 923.9763, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 54.1303, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8792, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.66, kappa: 0.3064, kb_relative_information_score: 21.7114, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0417, scimark_benchmark: 917.1386, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -0.1613, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7889, kappa: 0.5679, kb_relative_information_score: 56.2627, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7893, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9158, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 38.8514, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7948, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.0647, build_memory: 432067254.4, f_measure: 0.7993, kappa: 0.5897, kb_relative_information_score: 57.9958, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8384, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.1247, build_memory: 1291469307.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.4308, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8063, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, build_cpu_time: 0.6676, build_memory: 1137183190.4, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.5544, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8062, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, build_cpu_time: 1.2545, build_memory: 1523125824, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 58.1652, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8402, scimark_benchmark: 936.9135,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.3682, build_memory: 810734896.8, f_measure: 0.8071, kappa: 0.6045, kb_relative_information_score: 61.1034, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8126, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8585, scimark_benchmark: 947.7459,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.2171, build_memory: 36844880, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 49.6898, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7505, scimark_benchmark: 946.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.6569, build_memory: 37033440, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 48.8323, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7547, scimark_benchmark: 918.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, build_cpu_time: 0.136, build_memory: 1269846959.2, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 48.4569, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7686, scimark_benchmark: 939.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 0.2747, build_memory: 469556113.6, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 48.2329, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7635, scimark_benchmark: 937.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, build_cpu_time: 0.0987, build_memory: 180162123.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.3473, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7536, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 0.1322, build_memory: 1899296258.4, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.2032, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7523, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.9583, build_memory: 1388108073.6, f_measure: 0.7104, kappa: 0.4101, kb_relative_information_score: 31.8317, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7109, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.942, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, build_cpu_time: 0.1395, build_memory: 240723854.4, f_measure: 0.72, kappa: 0.4288, kb_relative_information_score: 30.9993, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9523, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, build_cpu_time: 0.0679, build_memory: 507407169.6, f_measure: 0.7, kappa: 0.388, kb_relative_information_score: 27.9039, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9864, recall: 0.7, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9804, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, build_cpu_time: 0.1199, build_memory: 40192732.8, f_measure: 0.6281, kappa: 0.2387, kb_relative_information_score: 12.5123, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6273, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.0663, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, build_cpu_time: 0.0235, build_memory: 876231046.4, f_measure: 0.7113, kappa: 0.4167, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7162, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0877, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, build_cpu_time: 0.0227, build_memory: 283966093.6, f_measure: 0.7113, kappa: 0.4167, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7162, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0877, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0008, build_memory: 168056876.8, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0007, build_memory: 112875352, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.0625, build_memory: 612201155.2, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 40.5211, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7486, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, build_cpu_time: 0.0419, build_memory: 510858014.4, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 39.4575, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7571, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, build_cpu_time: 0.0204, build_memory: 2080904057.6, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 40.8178, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.757, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, build_cpu_time: 0.01, build_memory: 1177290086.4, f_measure: 0.84, kappa: 0.6736, kb_relative_information_score: 40.9475, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7758, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 0.0397, build_memory: 2753291036.8, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.8856, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7469, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, build_cpu_time: 0.0055, build_memory: 673989420, f_measure: 0.8106, kappa: 0.6157, kb_relative_information_score: 41.4672, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8127, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7991, scimark_benchmark: 941.5201,

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