Task
Supervised Classification on fri_c0_250_5

Supervised Classification on fri_c0_250_5

Task 3642 Supervised Classification fri_c0_250_5 640 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: 0.9098, build_cpu_time: 0.3253, build_memory: 1634157451.2, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 185.2152, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7028, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 0.0106, build_memory: 1082869716, f_measure: 0.7517, kappa: 0.504, kb_relative_information_score: 116.3839, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.753, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9201, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0858, build_memory: 954521822.4, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0529, build_memory: 809791020.8, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0222, build_memory: 548510840, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0197, build_memory: 1247201164, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0181, build_memory: 323996125.6, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0178, build_memory: 1788406628, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.0052, build_memory: 1140616521.6, f_measure: 0.716, kappa: 0.432, kb_relative_information_score: 102.9701, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.716, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8995, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, build_cpu_time: 0.0131, build_memory: 614672693.6, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 177.8634, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6271, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, build_cpu_time: 0.0328, build_memory: 731600514.4, f_measure: 0.74, kappa: 0.48, kb_relative_information_score: 118.6329, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9517, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, build_cpu_time: 0.0401, build_memory: 1501447017.6, f_measure: 0.7319, kappa: 0.464, kb_relative_information_score: 117.9933, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7324, predictive_accuracy: 0.732, prior_entropy: 1, recall: 0.732, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, build_cpu_time: 0.1204, build_memory: 281600052, f_measure: 0.7678, kappa: 0.536, kb_relative_information_score: 130.017, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7691, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9552, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 179.8849, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.748, scimark_benchmark: 945.3151, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5132, kappa: 0.032, kb_relative_information_score: 8, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5164, predictive_accuracy: 0.516, prior_entropy: 1, recall: 0.516, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3914, scimark_benchmark: 941.8057, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 158, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8163, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579, scimark_benchmark: 947.0793, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.616, kappa: 0.232, kb_relative_information_score: 58, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.616, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2394, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 43.1298, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8788, scimark_benchmark: 947.9494, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8279, kappa: 0.656, kb_relative_information_score: 152.6042, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7768, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8078, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 945.0164, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5132, kappa: 0.032, kb_relative_information_score: 8, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5164, predictive_accuracy: 0.516, prior_entropy: 1, recall: 0.516, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3914, scimark_benchmark: 928.3108, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 168.3958, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7438, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 186.1655, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7124, scimark_benchmark: 929.566, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 133.161, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 148.5483, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6898, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8158, kappa: 0.632, kb_relative_information_score: 137.3348, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8173, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7237, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, build_cpu_time: 0.034, build_memory: 314804592.8, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 124.2572, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7923, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7712, kappa: 0.544, kb_relative_information_score: 101.7982, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8114, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8399, kappa: 0.68, kb_relative_information_score: 170.4528, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7423, scimark_benchmark: 935.8986, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6563, kappa: 0.368, kb_relative_information_score: 59.7039, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7716, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9219, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -10, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 186.5626, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6871, scimark_benchmark: 933.8635, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 43.8882, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8802, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 0.0729, build_memory: 458554429.6, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 170.3545, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7575, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 0.0969, build_memory: 617516645.6, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 170.3545, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7575, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 0.2492, build_memory: 48640973.6, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 180.2672, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7265, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 0.6469, build_memory: 987912318.4, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 184.5851, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7136, scimark_benchmark: 941.4198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, build_cpu_time: 5.0455, build_memory: 2233399962.4, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 143.6781, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6487, scimark_benchmark: 943.6957,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, build_cpu_time: 0.2756, build_memory: 765674054.4, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 137.0338, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6595, scimark_benchmark: 936.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 1.0899, build_memory: 26147448, f_measure: 0.8799, kappa: 0.76, kb_relative_information_score: 129.9999, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8809, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6615, scimark_benchmark: 944.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 0.152, build_memory: 1277778376.8, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 137.5993, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6582, scimark_benchmark: 940.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, build_cpu_time: 0.621, build_memory: 227021015.2, f_measure: 0.8719, kappa: 0.744, kb_relative_information_score: 129.8827, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8729, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6615, scimark_benchmark: 945.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, build_cpu_time: 0.0919, build_memory: 88534293.6, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 118.7314, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6902, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 0.1196, build_memory: 923310847.2, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 119.8239, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6872, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 0.124, build_memory: 2350781141.6, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 119.8239, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6872, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, build_cpu_time: 0.8709, build_memory: 1356101738.4, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 147.654, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8083, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7841, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, build_cpu_time: 0.1062, build_memory: 299994747.2, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 150.018, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7816, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, build_cpu_time: 0.0533, build_memory: 392847661.6, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 149.1858, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7929, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, build_cpu_time: 0.1147, build_memory: 263144987.2, f_measure: 0.8077, kappa: 0.616, kb_relative_information_score: 144.2155, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.81, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7792, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, build_cpu_time: 0.0089, build_memory: 1299489124, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 149.6907, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7674, scimark_benchmark: 934.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, build_cpu_time: 0.0235, build_memory: 103351420.8, f_measure: 0.6525, kappa: 0.352, kb_relative_information_score: 88, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7412, predictive_accuracy: 0.676, prior_entropy: 1, recall: 0.676, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1384, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, build_cpu_time: 0.0226, build_memory: 475982026.4, f_measure: 0.6525, kappa: 0.352, kb_relative_information_score: 88, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7412, predictive_accuracy: 0.676, prior_entropy: 1, recall: 0.676, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1384, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0009, build_memory: 203081112, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0006, build_memory: 94055956.8, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0004, build_memory: 267207841.6, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0005, build_memory: 191446712.8, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, build_cpu_time: 0.1007, build_memory: 1047075947.2, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 139.2181, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6464, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 0.0688, build_memory: 672021872.8, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 139.6052, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6469, scimark_benchmark: 941.0866,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs