OpenML
Supervised Classification on analcatdata_chlamydia

Supervised Classification on analcatdata_chlamydia

Task 3739 Supervised Classification analcatdata_chlamydia 974 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.725, kb_relative_information_score: 14.9316, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.8541, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1301.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9183, kappa: 0.7292, kb_relative_information_score: 53.7941, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9177, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6196, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 1206.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9183, kappa: 0.7292, kb_relative_information_score: 53.7941, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9177, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6196, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7931, kappa: 0.2677, kb_relative_information_score: 16.6029, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7909, predictive_accuracy: 0.82, prior_entropy: 0.714, recall: 0.82, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.8528, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.8263, kappa: 0.4588, kb_relative_information_score: 30.5321, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8355, predictive_accuracy: 0.82, prior_entropy: 0.714, recall: 0.82, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9866, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.725, kb_relative_information_score: 2.2954, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9518, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9, kappa: 0.6751, kb_relative_information_score: 60.7654, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.27, root_relative_squared_error: 0.6881, scimark_benchmark: 944.0517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.725, kb_relative_information_score: 2.5017, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9454, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8535, kappa: 0.5053, kb_relative_information_score: 23.3851, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.7642, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9293, kappa: 0.7679, kb_relative_information_score: 72.1365, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9288, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.6743, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7496, kappa: 0.095, kb_relative_information_score: 17.4816, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7411, predictive_accuracy: 0.8, prior_entropy: 0.714, recall: 0.8, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9102, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694, scimark_benchmark: 1350.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.7363, kappa: 0.0412, kb_relative_information_score: 23.6084, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.723, predictive_accuracy: 0.8, prior_entropy: 0.714, recall: 0.8, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1398, scimark_benchmark: 923.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.907, kappa: 0.6888, kb_relative_information_score: 64.6707, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9065, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7646, scimark_benchmark: 789.1062, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 1.3962, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.001, scimark_benchmark: 1301.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.7496, kappa: 0.095, kb_relative_information_score: 2.9509, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7411, predictive_accuracy: 0.8, prior_entropy: 0.714, recall: 0.8, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9371, scimark_benchmark: 1317.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.7418, kappa: 0.1131, kb_relative_information_score: -0.9078, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7288, predictive_accuracy: 0.76, prior_entropy: 0.714, recall: 0.76, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.077, scimark_benchmark: 1337.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 43.5591, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.6597, scimark_benchmark: 1189.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.725, kb_relative_information_score: 3.4254, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9461, scimark_benchmark: 891.9953, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 60.9784, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6347, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9293, kappa: 0.7679, kb_relative_information_score: 61.0856, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9288, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5844, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8008, kappa: 0.2905, kb_relative_information_score: 18.2722, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8055, predictive_accuracy: 0.83, prior_entropy: 0.714, recall: 0.83, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.8392, scimark_benchmark: 1351.6526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.8263, kappa: 0.4588, kb_relative_information_score: 30.5321, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8355, predictive_accuracy: 0.82, prior_entropy: 0.714, recall: 0.82, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9866, scimark_benchmark: 1347.0114, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8649, kappa: 0.5791, kb_relative_information_score: 46.006, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8731, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9537, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8984, kappa: 0.6429, kb_relative_information_score: 21.6672, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.919, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.7441, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9, kappa: 0.6751, kb_relative_information_score: 59.0226, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.737, scimark_benchmark: 1309.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8735, kappa: 0.6017, kb_relative_information_score: 49.739, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.879, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.919, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.437, f_measure: 0.6315, kappa: -0.1105, kb_relative_information_score: -47.3173, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6568, predictive_accuracy: 0.61, prior_entropy: 0.714, recall: 0.61, relative_absolute_error: 1.2517, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.5917, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.72, kappa: -0.0194, kb_relative_information_score: -17.405, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6545, predictive_accuracy: 0.8, prior_entropy: 0.714, recall: 0.8, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9903, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.8621, kappa: 0.5118, kb_relative_information_score: 53.4719, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8829, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.7488, kappa: 0.1301, kb_relative_information_score: 12.4096, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7353, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.2223, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.727, kappa: 0.0545, kb_relative_information_score: 4.9438, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7102, predictive_accuracy: 0.75, prior_entropy: 0.714, recall: 0.75, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2744, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: -0.7809, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0007, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9293, kappa: 0.7679, kb_relative_information_score: 74.9689, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9288, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.5621, scimark_benchmark: 927.0753, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9495, kappa: 0.8342, kb_relative_information_score: 76.5279, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9493, predictive_accuracy: 0.95, prior_entropy: 0.714, recall: 0.95, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5893, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9276, kappa: 0.758, kb_relative_information_score: 69.972, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.928, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.6792, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8978, kappa: 0.6615, kb_relative_information_score: 61.6151, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8967, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.761, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8978, kappa: 0.6615, kb_relative_information_score: 60.6466, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8967, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.7819, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8758, kappa: 0.5635, kb_relative_information_score: 54.7919, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.7887, scimark_benchmark: 940.2922, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8325, kappa: 0.4002, kb_relative_information_score: 46.5015, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8699, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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