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OpenML
OpenML
Supervised Classification on confidence

Supervised Classification on confidence

Task 3559 Supervised Classification confidence 374 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_123 study_41 under100k under1m
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374 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8177, kappa: 0.7833, kb_relative_information_score: 58.9286, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8236, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5474, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.5502, kappa: 0.45, kb_relative_information_score: 15.314, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.5923, predictive_accuracy: 0.5417, prior_entropy: 2.585, recall: 0.5417, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9809, scimark_benchmark: 887.6719, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.6029, kappa: 0.5333, kb_relative_information_score: 23.2424, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6232, predictive_accuracy: 0.6111, prior_entropy: 2.585, recall: 0.6111, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.878, scimark_benchmark: 933.3136, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8282, kappa: 0.8, kb_relative_information_score: 51.3834, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8314, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.6354, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.5403, kappa: 0.4667, kb_relative_information_score: 36.7438, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.5785, predictive_accuracy: 0.5556, prior_entropy: 2.585, recall: 0.5556, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3849, root_relative_squared_error: 1.0328, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7812, kappa: 0.75, kb_relative_information_score: 55.6135, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6038, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7483, kappa: 0.7167, kb_relative_information_score: 50.2136, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7654, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6466, scimark_benchmark: 1319.6463, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8362, kappa: 0.8, kb_relative_information_score: 56.5954, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5601, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7772, kappa: 0.7333, kb_relative_information_score: 54.3719, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7776, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7303, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.7778, kappa: 0.75, kb_relative_information_score: 53.8906, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8076, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.6421, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.796, kappa: 0.7667, kb_relative_information_score: 54.8379, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8054, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.6526, scimark_benchmark: 1309.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7629, kappa: 0.7167, kb_relative_information_score: 53.2702, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7723, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.7528, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8204, kappa: 0.7833, kb_relative_information_score: 57.6975, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8231, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.656, scimark_benchmark: 868.2731, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.215, kappa: 0.1167, kb_relative_information_score: 13.607, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.3088, predictive_accuracy: 0.2639, prior_entropy: 2.585, recall: 0.2639, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.3292, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7674, kappa: 0.7167, kb_relative_information_score: 52.4057, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7855, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.7327, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.6966, kappa: 0.6333, kb_relative_information_score: 47.7614, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7039, predictive_accuracy: 0.6944, prior_entropy: 2.585, recall: 0.6944, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8563, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7165, kappa: 0.6667, kb_relative_information_score: 49.9649, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7194, predictive_accuracy: 0.7222, prior_entropy: 2.585, recall: 0.7222, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.8165, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.0637, kappa: -0.0333, kb_relative_information_score: 0.2624, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.0468, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0023, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7777, kappa: 0.7333, kb_relative_information_score: 53.3753, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7823, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.722, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8204, kappa: 0.7833, kb_relative_information_score: 57.5853, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8256, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.634, scimark_benchmark: 942.6953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8204, kappa: 0.7833, kb_relative_information_score: 57.054, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8256, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.242, root_relative_squared_error: 0.6493, scimark_benchmark: 926.6717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8204, kappa: 0.7833, kb_relative_information_score: 57.0539, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8256, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.242, root_relative_squared_error: 0.6493, scimark_benchmark: 936.7115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.2, kappa: 0.1333, kb_relative_information_score: 27.4752, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8986, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.2, kappa: 0.1333, kb_relative_information_score: 27.4752, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8986, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.2, kappa: 0.1333, kb_relative_information_score: 27.4752, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8986, scimark_benchmark: 911.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.2, kappa: 0.1333, kb_relative_information_score: 27.4752, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8986, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.2, kappa: 0.1333, kb_relative_information_score: 27.4752, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8986, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.7816, kappa: 0.7333, kb_relative_information_score: 54.8039, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7904, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.717, scimark_benchmark: 945.6434, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8209, kappa: 0.7833, kb_relative_information_score: 56.8605, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8242, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.668, scimark_benchmark: 938.2848, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7779, kappa: 0.7333, kb_relative_information_score: 54.9681, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7819, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.7026, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7933, kappa: 0.75, kb_relative_information_score: 56.2388, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7993, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.6555, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.795, kappa: 0.75, kb_relative_information_score: 54.7126, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8033, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.6597, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.0637, kappa: -0.0333, kb_relative_information_score: 0.2624, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.0468, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0023, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8193, kappa: 0.7833, kb_relative_information_score: 56.2851, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8236, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6277, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.0637, kappa: -0.0333, kb_relative_information_score: 0.2624, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.0468, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0023, scimark_benchmark: 910.8389,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, build_cpu_time: 0.1044, build_memory: 764642784.6667, f_measure: 0.8338, kappa: 0.8, kb_relative_information_score: 58.7179, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8399, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6325, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 0.1503, build_memory: 647132281.7778, f_measure: 0.7777, kappa: 0.7333, kb_relative_information_score: 54.3835, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7838, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7286, scimark_benchmark: 923.3659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, build_cpu_time: 0.0192, build_memory: 730411844.2222, f_measure: 0.7779, kappa: 0.7333, kb_relative_information_score: 54.8921, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7819, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.267, root_relative_squared_error: 0.7165, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, build_cpu_time: 0.0192, build_memory: 128195754.6667, f_measure: 0.7779, kappa: 0.7333, kb_relative_information_score: 54.8921, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7819, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.267, root_relative_squared_error: 0.7165, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, build_cpu_time: 0.0245, build_memory: 151642385.1111, f_measure: 0.7779, kappa: 0.7333, kb_relative_information_score: 54.8967, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7819, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.7161, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, build_cpu_time: 0.0129, build_memory: 654172902.3333, f_measure: 0.8243, kappa: 0.7833, kb_relative_information_score: 55.3658, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8442, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.6355, scimark_benchmark: 916.1588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, build_cpu_time: 0.0066, build_memory: 669806129.7778, f_measure: 0.8243, kappa: 0.7833, kb_relative_information_score: 55.3658, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8442, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.6355, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, build_cpu_time: 0.0026, build_memory: 391781769.6667, f_measure: 0.2, kappa: 0.1333, kb_relative_information_score: 27.4752, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8986, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, build_cpu_time: 0.1797, build_memory: 182237297.1111, f_measure: 0.7909, kappa: 0.75, kb_relative_information_score: 56.0413, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.792, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.6913, scimark_benchmark: 874.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, build_cpu_time: 0.113, build_memory: 489663092.3333, f_measure: 0.7909, kappa: 0.75, kb_relative_information_score: 55.5406, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.792, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.7014, scimark_benchmark: 947.9978,

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