OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24077 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 0.0503, build_memory: 1081436749.6, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 0.0883, build_memory: 1049134978.4, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 2.0712, build_memory: 1116648172.8, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 1509.9659, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5494, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 5.4839, build_memory: 502117912.8, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 5.0469, build_memory: 885035821.6, f_measure: 0.7849, kappa: 0.7628, kb_relative_information_score: 1357.4127, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7868, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6183, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 5.8399, build_memory: 989978245.6, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 5.6855, build_memory: 775990844.8, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 0.0535, build_memory: 1388307565.6, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 0.0828, build_memory: 1294396541.6, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 2.1917, build_memory: 1023917136, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 1509.9659, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5494, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 0.0482, build_memory: 1309981020.8, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8403, kappa: 0.8228, kb_relative_information_score: 1670.4003, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8406, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.589, scimark_benchmark: 915.2795, usercpu_time_millis: 93680, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 93310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8172, kappa: 0.7978, kb_relative_information_score: 1484.4797, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8181, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5732, scimark_benchmark: 901.0726, usercpu_time_millis: 40940, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8285, kappa: 0.8094, kb_relative_information_score: 1607.6448, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.829, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.53, scimark_benchmark: 918.4924, usercpu_time_millis: 7440, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 7150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 48.2105, build_memory: 1026003379.2, f_measure: 0.8185, kappa: 0.7961, kb_relative_information_score: 1641.5968, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8216, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5978, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8084, kappa: 0.7861, kb_relative_information_score: 1624.524, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.6054, scimark_benchmark: 917.1386, usercpu_time_millis: 21110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8291, kappa: 0.8083, kb_relative_information_score: 1649.4925, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8316, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5949, scimark_benchmark: 921.2137, usercpu_time_millis: 41620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 41610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8408, kappa: 0.8228, kb_relative_information_score: 1667.0791, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5936, scimark_benchmark: 1146.4634, usercpu_time_millis: 230180, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 229110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.5719, kappa: 0.5533, kb_relative_information_score: 1024.0592, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5946, predictive_accuracy: 0.598, prior_entropy: 3.3219, recall: 0.598, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7925, scimark_benchmark: 938.9865, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.7781, kappa: 0.7539, kb_relative_information_score: 558.6718, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7834, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9178, scimark_benchmark: 935.4866, usercpu_time_millis: 19630, usercpu_time_millis_testing: 16540, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7917, kappa: 0.7683, kb_relative_information_score: 1565.4037, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57, scimark_benchmark: 929.0255, usercpu_time_millis: 3590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8077, kappa: 0.7883, kb_relative_information_score: 1519.2172, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5703, scimark_benchmark: 902.4773, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 3872.3191, build_memory: 1335262308, f_measure: 0.8441, kappa: 0.8261, kb_relative_information_score: 1696.3361, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8453, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4912, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.0179, build_memory: 380857488, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 2127.1013, build_memory: 793631940, f_measure: 0.8455, kappa: 0.8272, kb_relative_information_score: 1695.304, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.493, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 15.7082, build_memory: 1376277459.2, f_measure: 0.8154, kappa: 0.795, kb_relative_information_score: 1610.8284, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5275, scimark_benchmark: 896.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.01, build_memory: 52329118.4, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 942.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.3926, build_memory: 57293831.2, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 935.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.3744, build_memory: 103007396, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 946.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.3496, build_memory: 64085300, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 939.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.4468, build_memory: 98343040.8, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 939.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 6.2904, build_memory: 98690216, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1605.4178, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, scimark_benchmark: 943.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 6.3081, build_memory: 52342917.6, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1605.4178, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, scimark_benchmark: 947.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 6.7314, build_memory: 110539049.6, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1605.4178, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, scimark_benchmark: 942.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.807, kappa: 0.7861, kb_relative_information_score: 1600.3734, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5459, scimark_benchmark: 932.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8403, kappa: 0.8228, kb_relative_information_score: 1670.4003, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8406, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.589, scimark_benchmark: 944.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8195, kappa: 0.7983, kb_relative_information_score: 1646.5288, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5732, scimark_benchmark: 939.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.5597, kappa: 0.5406, kb_relative_information_score: 611.0189, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6313, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 942.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.5201, kappa: 0.5156, kb_relative_information_score: 635.3289, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6336, predictive_accuracy: 0.564, prior_entropy: 3.3219, recall: 0.564, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 921.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8349, kappa: 0.8172, kb_relative_information_score: 572.8459, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8352, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9125, scimark_benchmark: 928.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 944.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8371, kappa: 0.8178, kb_relative_information_score: 1663.2322, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.593, scimark_benchmark: 946.2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8022, kappa: 0.7794, kb_relative_information_score: 1638.9879, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8049, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5762, scimark_benchmark: 921.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8388, kappa: 0.8189, kb_relative_information_score: 1661.8055, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8411, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5965, scimark_benchmark: 940.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 918.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 941.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.0607, build_memory: 2192118477.6, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 18.2416, build_memory: 715525093.6, f_measure: 0.8286, kappa: 0.8089, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5714, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 12.4965, build_memory: 630547073.6, f_measure: 0.8302, kappa: 0.8106, kb_relative_information_score: 1664.3545, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5664, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 2.063, build_memory: 2190329818.4, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 1509.9659, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5494, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 2.0143, build_memory: 1343844329.6, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 1509.9659, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5494, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.0513, build_memory: 1266168513.6, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.0544, build_memory: 862565702.4, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 946.9091,

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