Task
Supervised Classification on fri_c2_250_50

Supervised Classification on fri_c2_250_50

Task 3741 Supervised Classification fri_c2_250_50 563 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: 0.8392, f_measure: 0.7748, kappa: 0.5443, kb_relative_information_score: 130.2082, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9934, recall: 0.776, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8979, scimark_benchmark: 938.4285, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8432, kappa: 0.6829, kb_relative_information_score: 164.8785, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8447, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7411, scimark_benchmark: 936.6206, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8347, kappa: 0.6656, kb_relative_information_score: 159.7729, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8381, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7115, scimark_benchmark: 924.6116, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8272, kappa: 0.6504, kb_relative_information_score: 145.4888, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7356, scimark_benchmark: 945.6434, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8235, kappa: 0.6431, kb_relative_information_score: 136.3298, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9934, recall: 0.824, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7186, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7989, kappa: 0.5931, kb_relative_information_score: 118.2459, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7533, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.5929, kappa: 0.245, kb_relative_information_score: 54.8163, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6619, predictive_accuracy: 0.608, prior_entropy: 0.9934, recall: 0.608, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0028, scimark_benchmark: 943.2745, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7955, kappa: 0.5866, kb_relative_information_score: 127.0938, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7957, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7792, scimark_benchmark: 943.6956, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7965, kappa: 0.5923, kb_relative_information_score: 85.7859, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8012, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8141, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7902, kappa: 0.5755, kb_relative_information_score: 116.2648, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7935, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.743, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 129.9184, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9409, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8037, kappa: 0.6034, kb_relative_information_score: 71.1868, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8037, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8143, scimark_benchmark: 918.4924, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7551, kappa: 0.5048, kb_relative_information_score: 61.0677, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7555, predictive_accuracy: 0.756, prior_entropy: 0.9934, recall: 0.756, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8675, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 942.1229, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5446, kappa: 0.0824, kb_relative_information_score: 25.078, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5455, predictive_accuracy: 0.544, prior_entropy: 0.9934, recall: 0.544, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1192, scimark_benchmark: 936.6206, usercpu_time_millis: 1990, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8587, kappa: 0.7141, kb_relative_information_score: 179.7939, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8637, predictive_accuracy: 0.86, prior_entropy: 0.9934, recall: 0.86, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7384, scimark_benchmark: 935.8834, usercpu_time_millis: 2000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8665, kappa: 0.73, kb_relative_information_score: 183.2357, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8734, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7265, scimark_benchmark: 942.6953, usercpu_time_millis: 4190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7994, kappa: 0.5944, kb_relative_information_score: 142.5505, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8533, scimark_benchmark: 938.4285, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6626, kappa: 0.3175, kb_relative_information_score: 67.2361, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6626, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0314, scimark_benchmark: 930.32, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8274, kappa: 0.6509, kb_relative_information_score: 159.5054, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7909, scimark_benchmark: 945.6434, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.768, kappa: 0.5317, kb_relative_information_score: 135.1643, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.768, predictive_accuracy: 0.768, prior_entropy: 0.9934, recall: 0.768, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7506, scimark_benchmark: 923.9763, usercpu_time_millis: 300, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 943.6956, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6964, kappa: 0.3957, kb_relative_information_score: 95.9653, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7057, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1078, scimark_benchmark: 939.0833, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, build_cpu_time: 0.4092, build_memory: 1175567441.6, f_measure: 0.6772, kappa: 0.347, kb_relative_information_score: 79.3726, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6788, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0104, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, build_cpu_time: 0.356, build_memory: 1301368549.6, f_measure: 0.6815, kappa: 0.3556, kb_relative_information_score: 80.6923, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6828, predictive_accuracy: 0.684, prior_entropy: 0.9934, recall: 0.684, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0071, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, build_cpu_time: 0.2928, build_memory: 1164079476, f_measure: 0.6858, kappa: 0.3643, kb_relative_information_score: 79.7761, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6868, predictive_accuracy: 0.688, prior_entropy: 0.9934, recall: 0.688, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0078, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.2217, build_memory: 1199315456.8, f_measure: 0.6782, kappa: 0.349, kb_relative_information_score: 78.0611, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6787, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0132, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, build_cpu_time: 0.1017, build_memory: 669217362.4, f_measure: 0.7802, kappa: 0.5569, kb_relative_information_score: 127.814, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7807, predictive_accuracy: 0.78, prior_entropy: 0.9934, recall: 0.78, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.849, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, build_cpu_time: 0.1941, build_memory: 820427169.6, f_measure: 0.7955, kappa: 0.5866, kb_relative_information_score: 142.2969, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7957, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.811, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, build_cpu_time: 0.3411, build_memory: 852639252, f_measure: 0.7992, kappa: 0.5938, kb_relative_information_score: 149.137, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7953, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, build_cpu_time: 0.5036, build_memory: 973294140.8, f_measure: 0.8191, kappa: 0.6341, kb_relative_information_score: 155.0414, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8204, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7827, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, build_cpu_time: 0.5831, build_memory: 30670864.8, f_measure: 0.8189, kappa: 0.6335, kb_relative_information_score: 155.1862, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.821, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7814, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, build_cpu_time: 0.0052, build_memory: 1077560814.4, f_measure: 0.6647, kappa: 0.3259, kb_relative_information_score: 79.754, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6667, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, scimark_benchmark: 926.507,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.729, build_memory: 668526179.2, f_measure: 0.8439, kappa: 0.6849, kb_relative_information_score: 165.9832, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7299, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 3.8609, build_memory: 1780331175.2, f_measure: 0.843, kappa: 0.6824, kb_relative_information_score: 170.6999, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7769, scimark_benchmark: 923.5113,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, build_cpu_time: 0.5074, build_memory: 187436699.2, f_measure: 0.7994, kappa: 0.5944, kb_relative_information_score: 142.5505, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8533, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, build_cpu_time: 0.5803, build_memory: 2549471068.8, f_measure: 0.6626, kappa: 0.3175, kb_relative_information_score: 67.2361, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6626, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0314, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 0.5366, build_memory: 178666412, f_measure: 0.8274, kappa: 0.6509, kb_relative_information_score: 159.5054, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7909, scimark_benchmark: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.0489, build_memory: 1900893143.2, f_measure: 0.768, kappa: 0.5317, kb_relative_information_score: 135.1643, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.768, predictive_accuracy: 0.768, prior_entropy: 0.9934, recall: 0.768, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7506, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.0063, build_memory: 1209706898.4, f_measure: 0.768, kappa: 0.5317, kb_relative_information_score: 135.1002, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.768, predictive_accuracy: 0.768, prior_entropy: 0.9934, recall: 0.768, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7522, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 0.1263, build_memory: 170685156.8, f_measure: 0.7914, kappa: 0.5782, kb_relative_information_score: 75.4184, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7948, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 0.0416, build_memory: 1099896028, f_measure: 0.835, kappa: 0.6661, kb_relative_information_score: 146.1196, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7604, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, build_cpu_time: 0.0004, build_memory: 234831738.4, f_measure: 0.5407, kappa: 0.075, kb_relative_information_score: 16.8066, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5418, predictive_accuracy: 0.54, prior_entropy: 0.9934, recall: 0.54, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3568, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0291, build_memory: 1075952886.4, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, build_cpu_time: 0.0389, build_memory: 1121028309.6, f_measure: 0.707, kappa: 0.4074, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7071, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, build_cpu_time: 0.0505, build_memory: 658544126.4, f_measure: 0.6964, kappa: 0.3957, kb_relative_information_score: 95.9653, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7057, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1078, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, build_cpu_time: 0.0193, build_memory: 146301784, f_measure: 0.6954, kappa: 0.3844, kb_relative_information_score: 77.9202, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6953, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9578, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, build_cpu_time: 0.0031, build_memory: 384038340, f_measure: 0.696, kappa: 0.3863, kb_relative_information_score: 70.6546, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.94, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, build_cpu_time: 0.0031, build_memory: 263148100.8, f_measure: 0.696, kappa: 0.3863, kb_relative_information_score: 70.6546, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.94, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, build_cpu_time: 0.0407, build_memory: 455105363.2, f_measure: 0.8428, kappa: 0.6819, kb_relative_information_score: 130.3924, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8463, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6819, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, build_cpu_time: 0.061, build_memory: 135859750.4, f_measure: 0.7998, kappa: 0.5957, kb_relative_information_score: 110.6514, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7822, scimark_benchmark: 920.6941,

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