OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 26.59, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9192, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6987, kappa: 0.3163, kb_relative_information_score: 26.2434, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7025, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.925, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6762, kappa: 0.265, kb_relative_information_score: 31.4923, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6789, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9501, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6607, kappa: 0.2298, kb_relative_information_score: 28.2394, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6694, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9578, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6463, kappa: 0.1971, kb_relative_information_score: 23.5963, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6522, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9723, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.641, kappa: 0.1848, kb_relative_information_score: 18.5414, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6442, predictive_accuracy: 0.6689, prior_entropy: 0.9308, recall: 0.6689, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9887, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.5987, kappa: 0.092, kb_relative_information_score: 14.2647, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6018, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9955, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7136, kappa: 0.3829, kb_relative_information_score: 44.6, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7248, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9434, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7198, kappa: 0.3943, kb_relative_information_score: 46.4469, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7294, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.93, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, f_measure: 0.3422, kappa: 0.0407, kb_relative_information_score: -54.2051, mean_absolute_error: 0.5894, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6153, predictive_accuracy: 0.4106, prior_entropy: 0.9308, recall: 0.4106, relative_absolute_error: 1.3034, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.7677, root_relative_squared_error: 1.6157, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5938, kappa: 0.08, kb_relative_information_score: 24.0724, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5938, predictive_accuracy: 0.6358, prior_entropy: 0.9308, recall: 0.6358, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2701, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.6304, kappa: 0.1608, kb_relative_information_score: 12.4345, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6295, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9793, scimark_benchmark: 887.6719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.5565, kappa: 0.0187, kb_relative_information_score: 24.0724, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5648, predictive_accuracy: 0.6358, prior_entropy: 0.9308, recall: 0.6358, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2701, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6956, kappa: 0.3106, kb_relative_information_score: 23.08, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6958, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9348, scimark_benchmark: 917.9672, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 918.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.5404, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9473, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 935.4444, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 936.7648, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 1291.6995, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.803, kappa: 0.5679, kb_relative_information_score: 75.4467, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8057, predictive_accuracy: 0.8013, prior_entropy: 0.9308, recall: 0.8013, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9587, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.6233, kappa: 0.1539, kb_relative_information_score: 7.4687, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6514, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0152, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7174, kappa: 0.3667, kb_relative_information_score: 36.7556, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7154, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0035, scimark_benchmark: 1327.6929, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7578, kappa: 0.4572, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7566, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1330.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.3842, kappa: 0.0507, kb_relative_information_score: -47.2982, mean_absolute_error: 0.5695, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6106, predictive_accuracy: 0.4305, prior_entropy: 0.9308, recall: 0.4305, relative_absolute_error: 1.2595, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.7547, root_relative_squared_error: 1.5882, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.7267, kappa: 0.3799, kb_relative_information_score: 41.752, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7335, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.958, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.6047, kappa: 0.1087, kb_relative_information_score: 17.1656, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5987, predictive_accuracy: 0.6159, prior_entropy: 0.9308, recall: 0.6159, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6198, root_relative_squared_error: 1.3043, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.7209, kappa: 0.3671, kb_relative_information_score: 58.6066, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7256, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0832, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -0.1809, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6903, kappa: 0.2969, kb_relative_information_score: 45.1319, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6946, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.1056, scimark_benchmark: 927.0753, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.6817, kappa: 0.2774, kb_relative_information_score: 46.7068, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6865, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0575, scimark_benchmark: 940.2922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7041, kappa: 0.3282, kb_relative_information_score: 46.5471, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7212, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0638, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.6484, kappa: 0.2055, kb_relative_information_score: 39.9267, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6706, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0963, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, build_cpu_time: 0.0286, build_memory: 354961997.1921, f_measure: 0.7205, kappa: 0.3784, kb_relative_information_score: 51.3917, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7194, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9753, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, build_cpu_time: 0.0147, build_memory: 769758293.6159, f_measure: 0.7471, kappa: 0.4376, kb_relative_information_score: 52.5585, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7462, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9679, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, build_cpu_time: 0.014, build_memory: 902870319.5762, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 52.9475, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9448, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, build_cpu_time: 0.0026, build_memory: 192287151.6821, f_measure: 0.675, kappa: 0.2694, kb_relative_information_score: 28.8591, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6719, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0027, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.0043, build_memory: 1018232337.9603, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.0047, build_memory: 1035381892.3444, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.0056, build_memory: 1351831473.8543, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.0073, build_memory: 3451693600.7417, f_measure: 0.6621, kappa: 0.233, kb_relative_information_score: 19.6559, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6632, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9895, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, build_cpu_time: 0.464, build_memory: 38233970.2781, f_measure: 0.7174, kappa: 0.3608, kb_relative_information_score: 54.0631, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7183, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9139, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, build_cpu_time: 0.7665, build_memory: 932796869.5629, f_measure: 0.7713, kappa: 0.4873, kb_relative_information_score: 66.2348, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7703, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9011, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 1.593, build_memory: 47496171.8676, f_measure: 0.8013, kappa: 0.56, kb_relative_information_score: 73.0578, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8013, predictive_accuracy: 0.8013, prior_entropy: 0.9308, recall: 0.8013, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9039, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, build_cpu_time: 3.1559, build_memory: 43045558.5695, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 72.4357, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.942, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, build_cpu_time: 2.3316, build_memory: 188166480.2119, f_measure: 0.8065, kappa: 0.5688, kb_relative_information_score: 74.8225, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8058, predictive_accuracy: 0.8079, prior_entropy: 0.9308, recall: 0.8079, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9288, scimark_benchmark: 925.7673,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs