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Function: require_once

OpenML
OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 248 Supervised Classification mfeat-morphological 314 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.7234, kappa: 0.695, kb_relative_information_score: 507.1617, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6539, scimark_benchmark: 942.9518, usercpu_time_millis: 370, usercpu_time_millis_testing: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.0944, kappa: 0.1224, kb_relative_information_score: 117.0633, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0726, predictive_accuracy: 0.2015, prior_entropy: 3.3219, recall: 0.2015, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9597, scimark_benchmark: 1318.5526, usercpu_time_millis: 10150, usercpu_time_millis_testing: 5120, usercpu_time_millis_training: 5030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 184.4935, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9183, scimark_benchmark: 939.449, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7718, kappa: 0.7473, kb_relative_information_score: 512.7269, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7751, predictive_accuracy: 0.7727, prior_entropy: 3.3219, recall: 0.7727, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5788, scimark_benchmark: 944.0517, usercpu_time_millis: 2050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.1091, kappa: 0.0739, kb_relative_information_score: 95.291, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1297, predictive_accuracy: 0.1818, prior_entropy: 3.3219, recall: 0.1818, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.3484, scimark_benchmark: 939.449, usercpu_time_millis: 1830, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 1309.3173, usercpu_time_millis: 1170, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 1301.9956, usercpu_time_millis: 960, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.6683, kappa: 0.6327, kb_relative_information_score: 438.4107, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6692, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.8429, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.698, kappa: 0.7018, kb_relative_information_score: 497.8526, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6889, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6286, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.7113, kappa: 0.7118, kb_relative_information_score: 492.9592, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7241, predictive_accuracy: 0.7409, prior_entropy: 3.3219, recall: 0.7409, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.633, scimark_benchmark: 1321.6263, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.6921, kappa: 0.6596, kb_relative_information_score: 448.757, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6928, predictive_accuracy: 0.6939, prior_entropy: 3.3219, recall: 0.6939, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8247, scimark_benchmark: 1315.395, usercpu_time_millis: 280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.3244, kappa: 0.3401, kb_relative_information_score: 253.2003, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4016, predictive_accuracy: 0.4106, prior_entropy: 3.3219, recall: 0.4106, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3433, root_relative_squared_error: 1.1444, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7078, kappa: 0.7052, kb_relative_information_score: 501.7584, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7101, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6474, scimark_benchmark: 1466.6185, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4406, kappa: 0.3943, kb_relative_information_score: 283.5273, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4432, predictive_accuracy: 0.4545, prior_entropy: 3.3219, recall: 0.4545, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.101, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.6942, kappa: 0.6916, kb_relative_information_score: 468.6264, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7087, predictive_accuracy: 0.7227, prior_entropy: 3.3219, recall: 0.7227, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.785, scimark_benchmark: 977.6382, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6943, kappa: 0.695, kb_relative_information_score: 492.9402, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6795, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6659, scimark_benchmark: 1054.3694, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.768, build_memory: 190695048, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.613, build_memory: 793026640, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.68, build_memory: 1245065456, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.461, build_memory: 796642344, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.444, build_memory: 1683676480, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, build_cpu_time: 0.166, build_memory: 564553504, f_measure: 0.7114, kappa: 0.69, kb_relative_information_score: 439.5709, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7148, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6389, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.206, build_memory: 114868584, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.2, build_memory: 1140838360, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.236, build_memory: 1011299696, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.224, build_memory: 95690152, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 2.182, build_memory: 242970144, f_measure: 0.7095, kappa: 0.6798, kb_relative_information_score: 468.4677, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7093, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7697, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, build_cpu_time: 1.555, build_memory: 2307826760, f_measure: 0.7095, kappa: 0.6798, kb_relative_information_score: 467.6903, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7093, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.231, root_relative_squared_error: 0.7701, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 0.618, build_memory: 2599347976, f_measure: 0.7094, kappa: 0.6798, kb_relative_information_score: 466.4523, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7091, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.7712, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, build_cpu_time: 0.313, build_memory: 1627620288, f_measure: 0.7095, kappa: 0.6798, kb_relative_information_score: 465.533, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.709, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.251, build_memory: 865538088, f_measure: 0.7021, kappa: 0.6714, kb_relative_information_score: 463.3089, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7012, predictive_accuracy: 0.7045, prior_entropy: 3.3219, recall: 0.7045, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, build_cpu_time: 17.216, build_memory: 224985528, f_measure: 0.7034, kappa: 0.6714, kb_relative_information_score: 458.4181, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7058, predictive_accuracy: 0.7045, prior_entropy: 3.3219, recall: 0.7045, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8045, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, build_cpu_time: 0.005, build_memory: 141315040, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 18.035, build_memory: 581392000, f_measure: 0.7161, kappa: 0.6866, kb_relative_information_score: 474.3044, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7162, predictive_accuracy: 0.7182, prior_entropy: 3.3219, recall: 0.7182, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.7583, scimark_benchmark: 874.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, build_cpu_time: 10.837, build_memory: 759483648, f_measure: 0.7114, kappa: 0.6816, kb_relative_information_score: 474.8186, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7113, predictive_accuracy: 0.7136, prior_entropy: 3.3219, recall: 0.7136, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.7561, scimark_benchmark: 919.5281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, build_cpu_time: 2.988, build_memory: 142404576, f_measure: 0.7093, kappa: 0.6799, kb_relative_information_score: 472.7942, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7093, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7427, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, build_cpu_time: 0.119, build_memory: 174302800, f_measure: 0.7149, kappa: 0.6866, kb_relative_information_score: 500.9914, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.719, predictive_accuracy: 0.7182, prior_entropy: 3.3219, recall: 0.7182, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6353, scimark_benchmark: 941.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.017, build_memory: 959963256, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, build_cpu_time: 0.73, build_memory: 332711616, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, build_cpu_time: 0.109, build_memory: 357642632, f_measure: 0.7119, kappa: 0.68, kb_relative_information_score: 477.3276, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7251, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6448, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, build_cpu_time: 0.001, build_memory: 383440752, f_measure: 0.7021, kappa: 0.6697, kb_relative_information_score: 457.1518, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7043, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.8017, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, build_cpu_time: 1.854, build_memory: 75406880, f_measure: 0.0944, kappa: 0.1224, kb_relative_information_score: 117.0633, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0726, predictive_accuracy: 0.2015, prior_entropy: 3.3219, recall: 0.2015, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9597, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 0.224, build_memory: 842219432, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 184.4935, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9183, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 1.289, build_memory: 560691352, f_measure: 0.7735, kappa: 0.7489, kb_relative_information_score: 517.5167, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7756, predictive_accuracy: 0.7742, prior_entropy: 3.3219, recall: 0.7742, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5773, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, build_cpu_time: 0.003, build_memory: 118899616, f_measure: 0.7061, kappa: 0.6816, kb_relative_information_score: 496.2657, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7145, predictive_accuracy: 0.7136, prior_entropy: 3.3219, recall: 0.7136, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6632, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, build_cpu_time: 0.002, build_memory: 268700928, f_measure: 0.7061, kappa: 0.6816, kb_relative_information_score: 496.2657, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7145, predictive_accuracy: 0.7136, prior_entropy: 3.3219, recall: 0.7136, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6632, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 0.1, build_memory: 803251672, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, build_cpu_time: 0.007, build_memory: 797884312, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, build_cpu_time: 0.004, build_memory: 60463088, f_measure: 0.4406, kappa: 0.3943, kb_relative_information_score: 283.5273, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4432, predictive_accuracy: 0.4545, prior_entropy: 3.3219, recall: 0.4545, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.101, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, build_cpu_time: 0.003, build_memory: 277414232, f_measure: 0.4406, kappa: 0.3943, kb_relative_information_score: 283.5273, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4432, predictive_accuracy: 0.4545, prior_entropy: 3.3219, recall: 0.4545, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.101, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 103273440, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 611147544, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 837768632, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 1.767, build_memory: 1393895440, f_measure: 0.69, kappa: 0.695, kb_relative_information_score: 183.9905, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6829, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.918, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 2.203, build_memory: 602678096, f_measure: 0.69, kappa: 0.695, kb_relative_information_score: 183.9905, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6829, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.918, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 4.279, build_memory: 660471496, f_measure: 0.6916, kappa: 0.6967, kb_relative_information_score: 184.0842, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6851, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9181, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 3.806, build_memory: 87981936, f_measure: 0.6916, kappa: 0.6967, kb_relative_information_score: 184.0842, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6851, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9181, scimark_benchmark: 921.6517,

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