Task
Supervised Classification on fri_c2_1000_5

Supervised Classification on fri_c2_1000_5

Task 4480 Supervised Classification fri_c2_1000_5 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8988, kappa: 0.7915, kb_relative_information_score: 7239.6092, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8988, predictive_accuracy: 0.899, prior_entropy: 0.9796, recall: 0.899, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5889, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8763, kappa: 0.7441, kb_relative_information_score: 5706.4346, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8777, predictive_accuracy: 0.8772, prior_entropy: 0.9796, recall: 0.8772, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6269, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8813, kappa: 0.7551, kb_relative_information_score: 6685.7661, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9796, recall: 0.8816, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6015, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9367, kappa: 0.8698, kb_relative_information_score: 8680.2525, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9796, recall: 0.9367, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5104, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9367, kappa: 0.8698, kb_relative_information_score: 8680.2525, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9796, recall: 0.9367, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5104, scimark_benchmark: 916.0735, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9178, kappa: 0.8303, kb_relative_information_score: 7408.7254, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9182, prior_entropy: 0.9796, recall: 0.9182, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5111, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7596, kappa: 0.5066, kb_relative_information_score: 3419.8922, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.7605, predictive_accuracy: 0.759, prior_entropy: 0.9796, recall: 0.759, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8102, scimark_benchmark: 938.9588, usercpu_time_millis: 12150, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 11980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9052, kappa: 0.8043, kb_relative_information_score: 7397.5883, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9054, predictive_accuracy: 0.9055, prior_entropy: 0.9796, recall: 0.9055, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5664, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9367, kappa: 0.8698, kb_relative_information_score: 8680.2525, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9796, recall: 0.9367, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5104, scimark_benchmark: 936.3373, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9367, kappa: 0.8698, kb_relative_information_score: 8680.2525, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9796, recall: 0.9367, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5104, scimark_benchmark: 944.1783, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8824, kappa: 0.7571, kb_relative_information_score: 6969.2267, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8828, predictive_accuracy: 0.8829, prior_entropy: 0.9796, recall: 0.8829, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6183, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.928, kappa: 0.8514, kb_relative_information_score: 7815.7657, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9796, recall: 0.9282, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4615, scimark_benchmark: 937.5117, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8988, kappa: 0.7915, kb_relative_information_score: 7239.6092, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8988, predictive_accuracy: 0.899, prior_entropy: 0.9796, recall: 0.899, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5889, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8763, kappa: 0.7441, kb_relative_information_score: 5706.4346, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8777, predictive_accuracy: 0.8772, prior_entropy: 0.9796, recall: 0.8772, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6269, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8813, kappa: 0.7551, kb_relative_information_score: 6685.7661, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9796, recall: 0.8816, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6015, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9367, kappa: 0.8698, kb_relative_information_score: 8680.2525, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9796, recall: 0.9367, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5104, scimark_benchmark: 904.5548, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9178, kappa: 0.8303, kb_relative_information_score: 7408.7254, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9182, prior_entropy: 0.9796, recall: 0.9182, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5111, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7596, kappa: 0.5066, kb_relative_information_score: 3419.8922, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.7605, predictive_accuracy: 0.759, prior_entropy: 0.9796, recall: 0.759, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8102, scimark_benchmark: 938.4601, usercpu_time_millis: 10610, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9052, kappa: 0.8043, kb_relative_information_score: 7397.5883, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9054, predictive_accuracy: 0.9055, prior_entropy: 0.9796, recall: 0.9055, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5664, scimark_benchmark: 945.6228, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.928, kappa: 0.8514, kb_relative_information_score: 7815.7657, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9796, recall: 0.9282, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4615, scimark_benchmark: 938.988, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9464, kappa: 0.8895, kb_relative_information_score: 7602.7379, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9467, predictive_accuracy: 0.9466, prior_entropy: 0.9796, recall: 0.9466, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4362, scimark_benchmark: 943.6618, usercpu_time_millis: 2730, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9461, kappa: 0.8889, kb_relative_information_score: 7599.8139, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9464, predictive_accuracy: 0.9463, prior_entropy: 0.9796, recall: 0.9463, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4366, scimark_benchmark: 934.695, usercpu_time_millis: 1410, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9445, kappa: 0.8854, kb_relative_information_score: 7576.2509, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 0.9796, recall: 0.9446, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4414, scimark_benchmark: 593.4115, usercpu_time_millis: 910, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9434, kappa: 0.8833, kb_relative_information_score: 7544.6349, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9435, predictive_accuracy: 0.9435, prior_entropy: 0.9796, recall: 0.9435, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.448, scimark_benchmark: 891.6381, usercpu_time_millis: 360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9387, kappa: 0.8736, kb_relative_information_score: 7516.5761, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9388, predictive_accuracy: 0.9388, prior_entropy: 0.9796, recall: 0.9388, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4605, scimark_benchmark: 942.5233, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8716, kappa: 0.735, kb_relative_information_score: 6253.2608, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.872, prior_entropy: 0.9796, recall: 0.872, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6327, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8716, kappa: 0.735, kb_relative_information_score: 6253.2608, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.872, prior_entropy: 0.9796, recall: 0.872, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6327, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8716, kappa: 0.735, kb_relative_information_score: 6253.2608, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.872, prior_entropy: 0.9796, recall: 0.872, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6327, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8716, kappa: 0.735, kb_relative_information_score: 6253.2608, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.872, prior_entropy: 0.9796, recall: 0.872, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6327, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8709, kappa: 0.7336, kb_relative_information_score: 6234.0115, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8713, prior_entropy: 0.9796, recall: 0.8713, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6329, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.4306, kb_relative_information_score: -0.7116, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.3411, predictive_accuracy: 0.584, prior_entropy: 0.9796, recall: 0.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.4929, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9099, kappa: 0.8142, kb_relative_information_score: 8053.5675, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.91, predictive_accuracy: 0.9101, prior_entropy: 0.9796, recall: 0.9101, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.278, root_relative_squared_error: 0.564, scimark_benchmark: 938.3115, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8938, kappa: 0.781, kb_relative_information_score: 7691.5088, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8939, predictive_accuracy: 0.8941, prior_entropy: 0.9796, recall: 0.8941, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6155, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8763, kappa: 0.7441, kb_relative_information_score: 5706.4346, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8777, predictive_accuracy: 0.8772, prior_entropy: 0.9796, recall: 0.8772, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6269, scimark_benchmark: 1274.7011, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8824, kappa: 0.7571, kb_relative_information_score: 6969.2267, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8828, predictive_accuracy: 0.8829, prior_entropy: 0.9796, recall: 0.8829, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6183, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7596, kappa: 0.5066, kb_relative_information_score: 3419.8922, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.7605, predictive_accuracy: 0.759, prior_entropy: 0.9796, recall: 0.759, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8102, scimark_benchmark: 1332.7986, usercpu_time_millis: 7800, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 7680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.928, kappa: 0.8514, kb_relative_information_score: 7815.7657, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9796, recall: 0.9282, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4615, scimark_benchmark: 1350.2591, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8824, kappa: 0.7571, kb_relative_information_score: 6969.2267, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8828, predictive_accuracy: 0.8829, prior_entropy: 0.9796, recall: 0.8829, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6183, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9178, kappa: 0.8303, kb_relative_information_score: 7408.7254, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9182, prior_entropy: 0.9796, recall: 0.9182, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5111, scimark_benchmark: 1337.3324, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9052, kappa: 0.8043, kb_relative_information_score: 7397.5883, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9054, predictive_accuracy: 0.9055, prior_entropy: 0.9796, recall: 0.9055, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5664, scimark_benchmark: 1313.11, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.928, kappa: 0.8514, kb_relative_information_score: 7815.7657, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9796, recall: 0.9282, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4615, scimark_benchmark: 1332.6745, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8988, kappa: 0.7915, kb_relative_information_score: 7239.6092, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8988, predictive_accuracy: 0.899, prior_entropy: 0.9796, recall: 0.899, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5889, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7272, kappa: 0.4369, kb_relative_information_score: 2838.9991, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.7268, predictive_accuracy: 0.7283, prior_entropy: 0.9796, recall: 0.7283, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8636, scimark_benchmark: 1417.3093, usercpu_time_millis: 360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8813, kappa: 0.7551, kb_relative_information_score: 6685.7661, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9796, recall: 0.8816, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6015, scimark_benchmark: 1324.6608, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9212, kappa: 0.8373, kb_relative_information_score: 7583.9133, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9214, predictive_accuracy: 0.9214, prior_entropy: 0.9796, recall: 0.9214, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5108, scimark_benchmark: 1352.9101, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9367, kappa: 0.8698, kb_relative_information_score: 8680.2525, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9796, recall: 0.9367, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5104, scimark_benchmark: 1299.6719, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1318.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9178, kappa: 0.8303, kb_relative_information_score: 7408.7254, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9182, prior_entropy: 0.9796, recall: 0.9182, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5111, scimark_benchmark: 1331.0047, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8999, kappa: 0.7934, kb_relative_information_score: 7273.21, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4859, number_of_instances: 10000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 0.9796, recall: 0.9002, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5558, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_testing: 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

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From your own software

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

OpenML APIs