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Supervised Classification on fri_c3_250_5

Supervised Classification on fri_c3_250_5

Task 4315 Supervised Classification fri_c3_250_5 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8175, kappa: 0.6297, kb_relative_information_score: 1361.7961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7708, scimark_benchmark: 1344.4042, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8325, kappa: 0.6589, kb_relative_information_score: 1076.8399, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8325, predictive_accuracy: 0.8328, prior_entropy: 0.9883, recall: 0.8328, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7083, scimark_benchmark: 1329.4762, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8172, kappa: 0.6283, kb_relative_information_score: 1246.9438, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8172, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7077, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.6837, kappa: 0.3561, kb_relative_information_score: 882.1349, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.6834, predictive_accuracy: 0.684, prior_entropy: 0.9883, recall: 0.684, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1336, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8792, kappa: 0.7539, kb_relative_information_score: 1608.7692, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8796, predictive_accuracy: 0.8796, prior_entropy: 0.9883, recall: 0.8796, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6341, scimark_benchmark: 1341.2341, usercpu_time_millis: 720, usercpu_time_millis_testing: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8172, kappa: 0.6283, kb_relative_information_score: 1246.9438, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8172, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7077, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.8285, kappa: 0.6515, kb_relative_information_score: 1545.2184, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9883, recall: 0.8284, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.782, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8208, kappa: 0.635, kb_relative_information_score: 1054.9431, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8208, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7217, scimark_benchmark: 1347.5461, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7409, kappa: 0.471, kb_relative_information_score: 927.0468, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7429, predictive_accuracy: 0.7436, prior_entropy: 0.9883, recall: 0.7436, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7831, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.4674, kappa: 0.035, kb_relative_information_score: -108.7735, mean_absolute_error: 0.5096, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.5323, predictive_accuracy: 0.4904, prior_entropy: 0.9883, recall: 0.4904, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.7139, root_relative_squared_error: 1.4396, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.85, kappa: 0.6952, kb_relative_information_score: 1683.9942, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9883, recall: 0.85, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7209, scimark_benchmark: 1319.6817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8273, kappa: 0.6482, kb_relative_information_score: 1080.5523, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8272, predictive_accuracy: 0.8276, prior_entropy: 0.9883, recall: 0.8276, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7087, scimark_benchmark: 1349.9917, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8449, kappa: 0.685, kb_relative_information_score: 1388.2052, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9883, recall: 0.8448, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6637, scimark_benchmark: 1320.9366, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8176, kappa: 0.6332, kb_relative_information_score: 1312.8757, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8242, predictive_accuracy: 0.8168, prior_entropy: 0.9883, recall: 0.8168, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7822, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8289, kappa: 0.6517, kb_relative_information_score: 1077.4309, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8289, predictive_accuracy: 0.8292, prior_entropy: 0.9883, recall: 0.8292, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7124, scimark_benchmark: 1337.0272, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8824, kappa: 0.7604, kb_relative_information_score: 1836.9851, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 0.9883, recall: 0.8828, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6165, scimark_benchmark: 1339.8573, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6832, kappa: 0.355, kb_relative_information_score: 560.3735, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.6828, predictive_accuracy: 0.6836, prior_entropy: 0.9883, recall: 0.6836, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9045, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8172, kappa: 0.6283, kb_relative_information_score: 1246.9438, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8172, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7077, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8378, kappa: 0.67, kb_relative_information_score: 1278.2542, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8378, predictive_accuracy: 0.838, prior_entropy: 0.9883, recall: 0.838, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6999, scimark_benchmark: 961.21, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8512, kappa: 0.6969, kb_relative_information_score: 1728.6377, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9883, recall: 0.8516, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7735, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8512, kappa: 0.6969, kb_relative_information_score: 1739.9667, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9883, recall: 0.8516, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7768, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8688, kappa: 0.7333, kb_relative_information_score: 1828.002, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8688, predictive_accuracy: 0.8688, prior_entropy: 0.9883, recall: 0.8688, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7304, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8155, kappa: 0.6283, kb_relative_information_score: 1240.2056, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8205, predictive_accuracy: 0.8148, prior_entropy: 0.9883, recall: 0.8148, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7472, scimark_benchmark: 996.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8187, kappa: 0.6313, kb_relative_information_score: 1390.7491, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9883, recall: 0.8188, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7978, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.86, kappa: 0.7153, kb_relative_information_score: 1531.1131, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9883, recall: 0.86, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6974, scimark_benchmark: 1316.8289, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 1311.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7869, kappa: 0.5668, kb_relative_information_score: 1233.4519, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.787, predictive_accuracy: 0.7868, prior_entropy: 0.9883, recall: 0.7868, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.856, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8176, kappa: 0.6332, kb_relative_information_score: 1312.8757, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8242, predictive_accuracy: 0.8168, prior_entropy: 0.9883, recall: 0.8168, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7822, scimark_benchmark: 1413.089,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.804, kappa: 0.6028, kb_relative_information_score: 1304.1963, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8051, predictive_accuracy: 0.8036, prior_entropy: 0.9883, recall: 0.8036, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8076, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8126, kappa: 0.6192, kb_relative_information_score: 1443.6771, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8128, predictive_accuracy: 0.8124, prior_entropy: 0.9883, recall: 0.8124, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8063, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8334, kappa: 0.6608, kb_relative_information_score: 1647.8368, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8333, predictive_accuracy: 0.8336, prior_entropy: 0.9883, recall: 0.8336, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8226, scimark_benchmark: 1359.379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8294, kappa: 0.656, kb_relative_information_score: 1488.6374, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8335, predictive_accuracy: 0.8288, prior_entropy: 0.9883, recall: 0.8288, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7518, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7594, kappa: 0.5114, kb_relative_information_score: 1267.0332, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7598, predictive_accuracy: 0.7592, prior_entropy: 0.9883, recall: 0.7592, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9896, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8267, kappa: 0.6485, kb_relative_information_score: 1610.9849, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8275, predictive_accuracy: 0.8264, prior_entropy: 0.9883, recall: 0.8264, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8402, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.4068, kb_relative_information_score: -0.4001, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9883, recall: 0.564, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8307, kappa: 0.6555, kb_relative_information_score: 1555.7243, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8306, predictive_accuracy: 0.8308, prior_entropy: 0.9883, recall: 0.8308, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7922, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 1.2323, build_memory: 1458341912.72, f_measure: 0.8884, kappa: 0.7727, kb_relative_information_score: 1927.7062, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8889, predictive_accuracy: 0.8888, prior_entropy: 0.9883, recall: 0.8888, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6706, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 0.6109, build_memory: 1195424154.4, f_measure: 0.888, kappa: 0.7718, kb_relative_information_score: 1926.1962, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8885, predictive_accuracy: 0.8884, prior_entropy: 0.9883, recall: 0.8884, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6696, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.2484, build_memory: 930152345.44, f_measure: 0.8853, kappa: 0.7663, kb_relative_information_score: 1916.2937, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9883, recall: 0.8856, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6676, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, build_cpu_time: 0.1215, build_memory: 703391521.76, f_measure: 0.8766, kappa: 0.7487, kb_relative_information_score: 1868.2007, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8766, predictive_accuracy: 0.8768, prior_entropy: 0.9883, recall: 0.8768, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6878, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, build_cpu_time: 0.0601, build_memory: 1279331957.68, f_measure: 0.8692, kappa: 0.7338, kb_relative_information_score: 1829.6767, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8692, prior_entropy: 0.9883, recall: 0.8692, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.696, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, build_cpu_time: 1.0601, build_memory: 376156674.32, f_measure: 0.8706, kappa: 0.7362, kb_relative_information_score: 1501.7465, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8714, predictive_accuracy: 0.8712, prior_entropy: 0.9883, recall: 0.8712, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6252, scimark_benchmark: 831.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, build_cpu_time: 0.1692, build_memory: 2354441341.12, f_measure: 0.866, kappa: 0.7275, kb_relative_information_score: 1580.1202, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9883, recall: 0.866, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.622, scimark_benchmark: 945.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.3201, build_memory: 778461618.32, f_measure: 0.8667, kappa: 0.7289, kb_relative_information_score: 1576.5916, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8667, predictive_accuracy: 0.8668, prior_entropy: 0.9883, recall: 0.8668, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6238, scimark_benchmark: 934.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, build_cpu_time: 0.0552, build_memory: 33690312.64, f_measure: 0.8632, kappa: 0.7218, kb_relative_information_score: 1577.2053, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8632, predictive_accuracy: 0.8632, prior_entropy: 0.9883, recall: 0.8632, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6249, scimark_benchmark: 946.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.0223, build_memory: 326201520.56, f_measure: 0.8639, kappa: 0.7232, kb_relative_information_score: 1583.4837, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9883, recall: 0.864, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6279, scimark_benchmark: 949.482,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs