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OpenML
Task
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 3011 Supervised Classification hypothyroid 401 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
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401 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.9141, kappa: 0.3292, kb_relative_information_score: 75.9509, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9077, predictive_accuracy: 0.9308, prior_entropy: 0.4715, recall: 0.9308, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.9306, scimark_benchmark: 1335.643, usercpu_time_millis: 3760, usercpu_time_millis_testing: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8858, kb_relative_information_score: -18154.7167, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.4715, recall: 0.9229, relative_absolute_error: 3.5499, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.7083, scimark_benchmark: 939.5088, usercpu_time_millis: 5620, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.9094, kappa: 0.2946, kb_relative_information_score: -17954.6224, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.887, predictive_accuracy: 0.9358, prior_entropy: 0.4715, recall: 0.9358, relative_absolute_error: 3.5153, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.6879, scimark_benchmark: 940.3347, usercpu_time_millis: 2200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9619, kappa: 0.7261, kb_relative_information_score: 2440.9708, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9625, predictive_accuracy: 0.9658, prior_entropy: 0.4715, recall: 0.9658, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.5784, scimark_benchmark: 942.9708, usercpu_time_millis: 3840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.8839, kappa: 0.2572, kb_relative_information_score: -436.5601, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.924, predictive_accuracy: 0.873, prior_entropy: 0.4715, recall: 0.873, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.252, root_relative_squared_error: 1.3232, scimark_benchmark: 1304.9611, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9967, kappa: 0.9782, kb_relative_information_score: 3572.5489, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9966, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.206, scimark_benchmark: 1341.5768, usercpu_time_millis: 13140, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 12910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9947, kappa: 0.9658, kb_relative_information_score: 3087.793, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9946, predictive_accuracy: 0.995, prior_entropy: 0.4715, recall: 0.995, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.3225, scimark_benchmark: 1327.8711, usercpu_time_millis: 930, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9805, kappa: 0.8661, kb_relative_information_score: 2981.7139, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9803, predictive_accuracy: 0.9806, prior_entropy: 0.4715, recall: 0.9806, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.5132, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9947, kappa: 0.9655, kb_relative_information_score: 3516.2755, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9945, predictive_accuracy: 0.995, prior_entropy: 0.4715, recall: 0.995, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.2428, scimark_benchmark: 1306.6379, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.995, kappa: 0.9674, kb_relative_information_score: 3501.7729, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9948, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.2453, scimark_benchmark: 1313.5726, usercpu_time_millis: 1160, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.9739, kappa: 0.8152, kb_relative_information_score: 2839.7975, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9738, predictive_accuracy: 0.9753, prior_entropy: 0.4715, recall: 0.9753, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.111, root_relative_squared_error: 0.583, scimark_benchmark: 1327.8711, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.8672, kappa: 0.0518, kb_relative_information_score: -698.4959, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8639, predictive_accuracy: 0.8714, prior_entropy: 0.4715, recall: 0.8714, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.2536, root_relative_squared_error: 1.3314, scimark_benchmark: 1466.6185, usercpu_time_millis: 1220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.995, kappa: 0.967, kb_relative_information_score: 3524.5596, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9947, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.046, root_relative_squared_error: 0.2417, scimark_benchmark: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.964, kappa: 0.7597, kb_relative_information_score: 2452.8026, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9662, predictive_accuracy: 0.9626, prior_entropy: 0.4715, recall: 0.9626, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.7179, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.9425, kappa: 0.5795, kb_relative_information_score: 1295.989, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9404, predictive_accuracy: 0.9494, prior_entropy: 0.4715, recall: 0.9494, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.7924, scimark_benchmark: 921.8984, usercpu_time_millis: 109880, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 109800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9916, kappa: 0.9442, kb_relative_information_score: 3416.8785, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9918, prior_entropy: 0.4715, recall: 0.9918, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3366, scimark_benchmark: 1345.5871, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.8858, kb_relative_information_score: -11.0557, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.4715, recall: 0.9229, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1904, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9958, kappa: 0.9727, kb_relative_information_score: 3567.3109, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.2171, scimark_benchmark: 1054.3694, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.946, kappa: 0.6091, kb_relative_information_score: 2082.4919, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9468, predictive_accuracy: 0.9533, prior_entropy: 0.4715, recall: 0.9533, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.152, root_relative_squared_error: 0.7982, scimark_benchmark: 929.566, usercpu_time_millis: 960, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.9461, kappa: 0.6107, kb_relative_information_score: 1407.639, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9473, predictive_accuracy: 0.9536, prior_entropy: 0.4715, recall: 0.9536, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.7821, scimark_benchmark: 908.0036, usercpu_time_millis: 1750, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.9461, kappa: 0.61, kb_relative_information_score: -1341.6359, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9472, predictive_accuracy: 0.9533, prior_entropy: 0.4715, recall: 0.9533, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.7988, scimark_benchmark: 942.6953, usercpu_time_millis: 920, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.9461, kappa: 0.61, kb_relative_information_score: -1341.6359, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9472, predictive_accuracy: 0.9533, prior_entropy: 0.4715, recall: 0.9533, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.7988, scimark_benchmark: 939.7623, usercpu_time_millis: 860, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9128, kappa: 0.3361, kb_relative_information_score: 2203.0714, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9083, predictive_accuracy: 0.9303, prior_entropy: 0.4715, recall: 0.9303, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.6384, scimark_benchmark: 923.7642, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9128, kappa: 0.3361, kb_relative_information_score: 2203.0714, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9083, predictive_accuracy: 0.9303, prior_entropy: 0.4715, recall: 0.9303, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.6384, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9128, kappa: 0.3361, kb_relative_information_score: 2203.0714, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9083, predictive_accuracy: 0.9303, prior_entropy: 0.4715, recall: 0.9303, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.6384, scimark_benchmark: 911.0478, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9128, kappa: 0.3361, kb_relative_information_score: 2211.3532, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9083, predictive_accuracy: 0.9303, prior_entropy: 0.4715, recall: 0.9303, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.6391, scimark_benchmark: 938.4278, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9479, kappa: 0.7147, kb_relative_information_score: 2043.291, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9496, predictive_accuracy: 0.9539, prior_entropy: 0.4715, recall: 0.9539, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.146, root_relative_squared_error: 0.7664, scimark_benchmark: 939.7623, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9955, kappa: 0.9708, kb_relative_information_score: 3594.3315, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9953, predictive_accuracy: 0.9958, prior_entropy: 0.4715, recall: 0.9958, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.2136, scimark_benchmark: 938.4278, usercpu_time_millis: 5840, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9958, kappa: 0.9727, kb_relative_information_score: 3598.296, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.2063, scimark_benchmark: 924.6116, usercpu_time_millis: 2890, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3595.0645, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.038, root_relative_squared_error: 0.1994, scimark_benchmark: 924.6116, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9963, kappa: 0.9764, kb_relative_information_score: 3549.7669, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9961, predictive_accuracy: 0.9966, prior_entropy: 0.4715, recall: 0.9966, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.2022, scimark_benchmark: 923.9763, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 311.9164, build_memory: 735593191.211, f_measure: 0.996, kappa: 0.9728, kb_relative_information_score: 3573.9643, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.2351, scimark_benchmark: 924.2473,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 12.0395, build_memory: 721601181.5292, f_measure: 0.9951, kappa: 0.9672, kb_relative_information_score: 3560.035, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.995, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2378, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 23.5476, build_memory: 1299214479.4528, f_measure: 0.9955, kappa: 0.9708, kb_relative_information_score: 3567.9017, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9952, predictive_accuracy: 0.9958, prior_entropy: 0.4715, recall: 0.9958, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.2316, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, build_cpu_time: 4.9836, build_memory: 930865670.3796, f_measure: 0.9938, kappa: 0.9561, kb_relative_information_score: 3494.3772, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9939, predictive_accuracy: 0.9936, prior_entropy: 0.4715, recall: 0.9936, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.2872, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 2.6929, build_memory: 683923774.5536, f_measure: 0.9925, kappa: 0.9484, kb_relative_information_score: 3452.8915, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.4715, recall: 0.9926, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.3142, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.4963, build_memory: 509856612.5896, f_measure: 0.9964, kappa: 0.9764, kb_relative_information_score: 3595.2757, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9966, prior_entropy: 0.4715, recall: 0.9966, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.2149, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.9306, build_memory: 387147139.6458, f_measure: 0.9964, kappa: 0.9764, kb_relative_information_score: 3594.2831, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9966, prior_entropy: 0.4715, recall: 0.9966, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.04, root_relative_squared_error: 0.2102, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 1.7942, build_memory: 350212006.9205, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3599.2273, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.2094, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 3.3697, build_memory: 1025325028.1145, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3599.4841, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.2081, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 6.6285, build_memory: 556532357.1029, f_measure: 0.9971, kappa: 0.9818, kb_relative_information_score: 3615.3263, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9973, prior_entropy: 0.4715, recall: 0.9973, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1913, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 5.8372, build_memory: 2438259252.9523, f_measure: 0.9079, kappa: 0.3385, kb_relative_information_score: 688.6638, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9054, predictive_accuracy: 0.9112, prior_entropy: 0.4715, recall: 0.9112, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.2106, root_relative_squared_error: 1.1059, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 3.4164, build_memory: 150333569.1707, f_measure: 0.9079, kappa: 0.3385, kb_relative_information_score: 688.6638, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9054, predictive_accuracy: 0.9112, prior_entropy: 0.4715, recall: 0.9112, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.2106, root_relative_squared_error: 1.1059, scimark_benchmark: 937.6343,

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