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OpenML
Task
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 3598 Supervised Classification fri_c0_250_50 543 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.6657, f_measure: 0.6322, kappa: 0.2617, kb_relative_information_score: 47.2045, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6324, predictive_accuracy: 0.632, prior_entropy: 0.9971, recall: 0.632, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9975, scimark_benchmark: 854.5188, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7426, kappa: 0.4827, kb_relative_information_score: 121.2407, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7447, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.506, root_relative_squared_error: 1.014, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.3784, kappa: 0.0091, kb_relative_information_score: 16.6333, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7522, predictive_accuracy: 0.536, prior_entropy: 0.9971, recall: 0.536, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6812, root_relative_squared_error: 1.3651, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.744, kappa: 0.4859, kb_relative_information_score: 121.2407, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.506, root_relative_squared_error: 1.014, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7755, kappa: 0.5488, kb_relative_information_score: 102.8901, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7759, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7779, scimark_benchmark: 1304.9611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7519, kappa: 0.5014, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, scimark_benchmark: 942.6843, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 105.9771, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7957, scimark_benchmark: 918.6005, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7116, kappa: 0.4275, kb_relative_information_score: 90.6909, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9204, scimark_benchmark: 1250.8301, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 59.1852, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8368, scimark_benchmark: 825.5282, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6121, kappa: 0.2212, kb_relative_information_score: 54.8552, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6122, predictive_accuracy: 0.612, prior_entropy: 0.9971, recall: 0.612, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2484, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7751, kappa: 0.5561, kb_relative_information_score: 113.1274, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7912, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8044, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7401, kappa: 0.4819, kb_relative_information_score: 98.2359, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7455, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9213, scimark_benchmark: 1327.6929, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.5746, kappa: 0.2246, kb_relative_information_score: 48.8202, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6606, predictive_accuracy: 0.6, prior_entropy: 0.9971, recall: 0.6, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2675, scimark_benchmark: 1341.5768, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3695, kb_relative_information_score: 14.6216, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.371, scimark_benchmark: 1335.4072, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.656, kappa: 0.3148, kb_relative_information_score: 74.717, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6614, predictive_accuracy: 0.656, prior_entropy: 0.9971, recall: 0.656, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5815, root_relative_squared_error: 1.1653, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.6201, kappa: 0.2373, kb_relative_information_score: 58.8786, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 0.9971, recall: 0.62, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2354, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7388, kappa: 0.4749, kb_relative_information_score: 119.229, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0219, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.0616, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 136.6324, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9184, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7597, kappa: 0.517, kb_relative_information_score: 130.829, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9312, scimark_benchmark: 931.2336, usercpu_time_millis: 170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.784, kappa: 0.5662, kb_relative_information_score: 142.4894, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.448, root_relative_squared_error: 0.8979, scimark_benchmark: 932.3943, usercpu_time_millis: 340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8002, kappa: 0.6, kb_relative_information_score: 149.8367, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.802, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8745, scimark_benchmark: 941.7954, usercpu_time_millis: 690, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7842, kappa: 0.568, kb_relative_information_score: 141.8705, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.786, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9158, scimark_benchmark: 923.7642, usercpu_time_millis: 470, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 139.8212, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9111, scimark_benchmark: 894.7455, usercpu_time_millis: 450, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.796, kappa: 0.5905, kb_relative_information_score: 144.8605, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7961, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8613, scimark_benchmark: 936.7115, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7842, kappa: 0.568, kb_relative_information_score: 136.0329, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.786, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8863, scimark_benchmark: 943.2817, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7922, kappa: 0.5831, kb_relative_information_score: 137.1719, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7927, predictive_accuracy: 0.792, prior_entropy: 0.9971, recall: 0.792, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8533, scimark_benchmark: 942.1229, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.76, kappa: 0.522, kb_relative_information_score: 128.1269, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7663, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8779, scimark_benchmark: 922.9039, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7278, kappa: 0.4588, kb_relative_information_score: 98.2251, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7353, predictive_accuracy: 0.728, prior_entropy: 0.9971, recall: 0.728, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9415, scimark_benchmark: 938.9865, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7882, kappa: 0.5758, kb_relative_information_score: 141.4691, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7897, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8271, scimark_benchmark: 936.6206, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7722, kappa: 0.5447, kb_relative_information_score: 127.1075, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7754, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8477, scimark_benchmark: 924.6116, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.776, kappa: 0.5502, kb_relative_information_score: 126.3268, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8082, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8079, kappa: 0.614, kb_relative_information_score: 119.9358, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8079, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7425, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, build_cpu_time: 0.4641, build_memory: 591909528.8, f_measure: 0.6821, kappa: 0.3611, kb_relative_information_score: 88.8058, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6839, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1106, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 0.241, build_memory: 830381504.8, f_measure: 0.6418, kappa: 0.2803, kb_relative_information_score: 72.0255, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6432, predictive_accuracy: 0.644, prior_entropy: 0.9971, recall: 0.644, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1439, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.1386, build_memory: 662757759.2, f_measure: 0.586, kappa: 0.1679, kb_relative_information_score: 38.4142, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5863, predictive_accuracy: 0.588, prior_entropy: 0.9971, recall: 0.588, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6069, root_relative_squared_error: 1.2163, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, build_cpu_time: 0.0556, build_memory: 1428524449.6, f_measure: 0.5799, kappa: 0.1561, kb_relative_information_score: 34.2015, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5798, predictive_accuracy: 0.58, prior_entropy: 0.9971, recall: 0.58, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2024, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, build_cpu_time: 0.0282, build_memory: 357258348.8, f_measure: 0.5843, kappa: 0.1663, kb_relative_information_score: 38.3795, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5849, predictive_accuracy: 0.584, prior_entropy: 0.9971, recall: 0.584, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1227, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, build_cpu_time: 0.1149, build_memory: 609939710.4, f_measure: 0.7641, kappa: 0.5268, kb_relative_information_score: 132.9592, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7645, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8903, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.2288, build_memory: 1295682849.6, f_measure: 0.7722, kappa: 0.5442, kb_relative_information_score: 135.5073, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7745, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9084, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, build_cpu_time: 0.3896, build_memory: 598745218.4, f_measure: 0.7762, kappa: 0.552, kb_relative_information_score: 137.574, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.778, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9148, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.5533, build_memory: 681448648.8, f_measure: 0.7802, kappa: 0.5598, kb_relative_information_score: 139.3961, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9083, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.5728, build_memory: 2865700232.8, f_measure: 0.7802, kappa: 0.5598, kb_relative_information_score: 139.27, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9087, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, build_cpu_time: 19.2906, build_memory: 767861906.4, f_measure: 0.7315, kappa: 0.4604, kb_relative_information_score: 111.5489, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7317, predictive_accuracy: 0.732, prior_entropy: 0.9971, recall: 0.732, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9823, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, build_cpu_time: 38.6909, build_memory: 22099982.4, f_measure: 0.7155, kappa: 0.4282, kb_relative_information_score: 107.2238, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7156, predictive_accuracy: 0.716, prior_entropy: 0.9971, recall: 0.716, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0248, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 75.8681, build_memory: 1214671890.4, f_measure: 0.7439, kappa: 0.4854, kb_relative_information_score: 121.8553, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7438, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9789, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, build_cpu_time: 148.9861, build_memory: 31812558.4, f_measure: 0.7842, kappa: 0.5676, kb_relative_information_score: 140.994, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7853, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9239, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, build_cpu_time: 312.2334, build_memory: 34696330.4, f_measure: 0.7721, kappa: 0.5428, kb_relative_information_score: 135.1552, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7725, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.476, root_relative_squared_error: 0.954, scimark_benchmark: 937.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, build_cpu_time: 87.5079, build_memory: 1270318083.2, f_measure: 0.8082, kappa: 0.6156, kb_relative_information_score: 153.0681, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8755, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, build_cpu_time: 42.5796, build_memory: 1196715486.4, f_measure: 0.7882, kappa: 0.5753, kb_relative_information_score: 143.4374, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.789, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.913, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, build_cpu_time: 22.3364, build_memory: 1518483342.4, f_measure: 0.7922, kappa: 0.5831, kb_relative_information_score: 146.0737, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7927, predictive_accuracy: 0.792, prior_entropy: 0.9971, recall: 0.792, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8949, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 10.1888, build_memory: 797732597.6, f_measure: 0.7757, kappa: 0.5492, kb_relative_information_score: 136.2234, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.927, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, build_cpu_time: 1.0278, build_memory: 400551199.2, f_measure: 0.8042, kappa: 0.6074, kb_relative_information_score: 146.6521, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.805, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8269, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 2.0835, build_memory: 1853486492, f_measure: 0.8041, kappa: 0.607, kb_relative_information_score: 147.5372, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8045, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.844, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 3.9519, build_memory: 1469357625.6, f_measure: 0.7837, kappa: 0.5653, kb_relative_information_score: 138.41, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9195, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 7.6601, build_memory: 124257540, f_measure: 0.7957, kappa: 0.5893, kb_relative_information_score: 147.1051, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8915, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, build_cpu_time: 15.1405, build_memory: 989849947.2, f_measure: 0.8038, kappa: 0.6058, kb_relative_information_score: 150.513, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8039, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8822, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, build_cpu_time: 3.2859, build_memory: 499331119.2, f_measure: 0.8121, kappa: 0.623, kb_relative_information_score: 155.2763, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8125, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8492, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, build_cpu_time: 1.8877, build_memory: 124197632, f_measure: 0.808, kappa: 0.6144, kb_relative_information_score: 151.1599, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8609, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, build_cpu_time: 1.3034, build_memory: 869092572.8, f_measure: 0.82, kappa: 0.6383, kb_relative_information_score: 155.3825, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8199, predictive_accuracy: 0.82, prior_entropy: 0.9971, recall: 0.82, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8386, scimark_benchmark: 923.9118,

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