Task
Supervised Classification on boston

Supervised Classification on boston

Task 4423 Supervised Classification boston 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7538, kappa: 0.4915, kb_relative_information_score: 2597.7783, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7846, predictive_accuracy: 0.7672, prior_entropy: 0.9782, recall: 0.7672, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8126, kappa: 0.6119, kb_relative_information_score: 3088.7902, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8128, predictive_accuracy: 0.8136, prior_entropy: 0.9782, recall: 0.8136, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7942, kappa: 0.574, kb_relative_information_score: 2894.4748, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7942, predictive_accuracy: 0.7953, prior_entropy: 0.9782, recall: 0.7953, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7942, kappa: 0.574, kb_relative_information_score: 2894.4748, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7942, predictive_accuracy: 0.7953, prior_entropy: 0.9782, recall: 0.7953, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.847, kappa: 0.6828, kb_relative_information_score: 3070.0635, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 0.9782, recall: 0.8482, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6922, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8898, kappa: 0.7719, kb_relative_information_score: 3899.4821, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8903, predictive_accuracy: 0.8903, prior_entropy: 0.9782, recall: 0.8903, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 972.587, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8638, kappa: 0.718, kb_relative_information_score: 3262.5672, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9782, recall: 0.8644, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6506, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 944.1067, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7986, kappa: 0.5897, kb_relative_information_score: 2893.7889, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8045, predictive_accuracy: 0.7972, prior_entropy: 0.9782, recall: 0.7972, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8664, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8741, kappa: 0.7393, kb_relative_information_score: 3201.6153, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 0.9782, recall: 0.8749, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6254, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8934, kappa: 0.7793, kb_relative_information_score: 3310.86, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 0.9782, recall: 0.8941, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5929, scimark_benchmark: 934.2976, usercpu_time_millis: 2240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 3278.2073, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6961, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 937.5117, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 974.2014, usercpu_time_millis: 250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8884, kappa: 0.7688, kb_relative_information_score: 3329.8709, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9782, recall: 0.8889, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5887, scimark_benchmark: 974.2014, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.847, kappa: 0.6828, kb_relative_information_score: 3070.0635, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 0.9782, recall: 0.8482, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6922, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 908.9569, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8638, kappa: 0.718, kb_relative_information_score: 3262.5672, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9782, recall: 0.8644, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6506, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 926.5462, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8741, kappa: 0.7393, kb_relative_information_score: 3201.6153, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 0.9782, recall: 0.8749, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6254, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8934, kappa: 0.7793, kb_relative_information_score: 3310.86, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 0.9782, recall: 0.8941, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5929, scimark_benchmark: 919.3788, usercpu_time_millis: 3290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 3278.2073, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6961, scimark_benchmark: 730.6551, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8884, kappa: 0.7688, kb_relative_information_score: 3329.8709, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9782, recall: 0.8889, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5887, scimark_benchmark: 936.9595, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8851, kappa: 0.762, kb_relative_information_score: 3315.8622, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8864, predictive_accuracy: 0.886, prior_entropy: 0.9782, recall: 0.886, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5808, scimark_benchmark: 935.5664, usercpu_time_millis: 3690, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8864, kappa: 0.7648, kb_relative_information_score: 3316.5037, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8874, predictive_accuracy: 0.8872, prior_entropy: 0.9782, recall: 0.8872, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5817, scimark_benchmark: 906.5979, usercpu_time_millis: 1500, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8863, kappa: 0.7646, kb_relative_information_score: 3317.6513, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9782, recall: 0.887, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5833, scimark_benchmark: 921.466, usercpu_time_millis: 720, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.88, kappa: 0.7515, kb_relative_information_score: 3303.2207, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.881, predictive_accuracy: 0.8808, prior_entropy: 0.9782, recall: 0.8808, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.592, scimark_benchmark: 944.235, usercpu_time_millis: 360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8757, kappa: 0.7426, kb_relative_information_score: 3267.1755, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8761, predictive_accuracy: 0.8763, prior_entropy: 0.9782, recall: 0.8763, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6084, scimark_benchmark: 939.7241, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8934, kappa: 0.7793, kb_relative_information_score: 3310.86, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 0.9782, recall: 0.8941, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5929, scimark_benchmark: 1322.3407, usercpu_time_millis: 1790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1760,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 3278.2073, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6961, scimark_benchmark: 1309.2287, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8884, kappa: 0.7688, kb_relative_information_score: 3329.8709, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9782, recall: 0.8889, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5887, scimark_benchmark: 1336.5541, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8638, kappa: 0.718, kb_relative_information_score: 3262.5672, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9782, recall: 0.8644, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6506, scimark_benchmark: 1342.2845, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8704, kappa: 0.732, kb_relative_information_score: 3085.3446, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8704, predictive_accuracy: 0.8708, prior_entropy: 0.9782, recall: 0.8708, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6333, scimark_benchmark: 1331.8682, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 1304.4677, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 1309.4708, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 3278.2073, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6961, scimark_benchmark: 1330.3852, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 1274.7011, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 1371.174,

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