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Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 1816 Supervised Classification heart-statlog 351 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1354.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1308.891, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1352.9931, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8016, kappa: 0.5976, kb_relative_information_score: 605.0755, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7452, scimark_benchmark: 1337.3179, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1359.6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1371.4836, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7575, kappa: 0.5086, kb_relative_information_score: 620.025, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7574, predictive_accuracy: 0.7578, prior_entropy: 0.9912, recall: 0.7578, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.858, scimark_benchmark: 1338.6772, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8236, kappa: 0.6419, kb_relative_information_score: 766.5006, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 0.9912, recall: 0.8244, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7328, scimark_benchmark: 1359.7293, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7471, kappa: 0.4866, kb_relative_information_score: 566.2187, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7473, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8791, scimark_benchmark: 1354.5533, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7971, kappa: 0.5879, kb_relative_information_score: 560.7917, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7989, predictive_accuracy: 0.7985, prior_entropy: 0.9912, recall: 0.7985, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7707, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7971, kappa: 0.5879, kb_relative_information_score: 560.7917, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7989, predictive_accuracy: 0.7985, prior_entropy: 0.9912, recall: 0.7985, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7707, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7706, kappa: 0.5347, kb_relative_information_score: 577.4697, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7705, predictive_accuracy: 0.7711, prior_entropy: 0.9912, recall: 0.7711, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8083, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, build_cpu_time: 0.0019, build_memory: 1184222112, f_measure: 0.779, kappa: 0.5514, kb_relative_information_score: 463.4588, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7795, predictive_accuracy: 0.78, prior_entropy: 0.9912, recall: 0.78, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7913, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, build_cpu_time: 0.0052, build_memory: 1334357328.8, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 470.864, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7863, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, build_cpu_time: 2.3384, build_memory: 300067457.6, f_measure: 0.8198, kappa: 0.6346, kb_relative_information_score: 708.1601, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9912, recall: 0.82, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7261, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, build_cpu_time: 0.2079, build_memory: 1702349892.8, f_measure: 0.809, kappa: 0.6136, kb_relative_information_score: 794.7659, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8093, predictive_accuracy: 0.8089, prior_entropy: 0.9912, recall: 0.8089, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8231, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 1.0253, build_memory: 41586634.4, f_measure: 0.8154, kappa: 0.6258, kb_relative_information_score: 704.7086, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8153, predictive_accuracy: 0.8156, prior_entropy: 0.9912, recall: 0.8156, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7377, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, build_cpu_time: 0.0032, build_memory: 2310320856.8, f_measure: 0.7758, kappa: 0.5446, kb_relative_information_score: 470.9766, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7767, predictive_accuracy: 0.777, prior_entropy: 0.9912, recall: 0.777, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7878, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, build_cpu_time: 0.5024, build_memory: 1023029008, f_measure: 0.7867, kappa: 0.5673, kb_relative_information_score: 764.3006, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7869, predictive_accuracy: 0.7874, prior_entropy: 0.9912, recall: 0.7874, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9256, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, build_cpu_time: 1.1684, build_memory: 183107827.2, f_measure: 0.8235, kappa: 0.6424, kb_relative_information_score: 705.1371, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8235, predictive_accuracy: 0.8237, prior_entropy: 0.9912, recall: 0.8237, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, build_cpu_time: 0.1345, build_memory: 974152225.6, f_measure: 0.7801, kappa: 0.5549, kb_relative_information_score: 738.5104, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9912, recall: 0.78, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8951, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, build_cpu_time: 3.789, build_memory: 1024713098.4, f_measure: 0.7719, kappa: 0.5371, kb_relative_information_score: 729.9026, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.772, predictive_accuracy: 0.7726, prior_entropy: 0.9912, recall: 0.7726, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9213, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, build_cpu_time: 0.0307, build_memory: 472853148, f_measure: 0.7199, kappa: 0.4318, kb_relative_information_score: 576.942, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7198, predictive_accuracy: 0.7207, prior_entropy: 0.9912, recall: 0.7207, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0231, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, build_cpu_time: 0.0156, build_memory: 1119693529.6, f_measure: 0.7085, kappa: 0.4092, kb_relative_information_score: 545.9743, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7083, predictive_accuracy: 0.7089, prior_entropy: 0.9912, recall: 0.7089, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.011, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, build_cpu_time: 0.0634, build_memory: 204398676, f_measure: 0.7115, kappa: 0.415, kb_relative_information_score: 561.2757, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7112, predictive_accuracy: 0.7119, prior_entropy: 0.9912, recall: 0.7119, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0582, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, build_cpu_time: 0.0018, build_memory: 730332868, f_measure: 0.7371, kappa: 0.4667, kb_relative_information_score: 629.2353, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.737, predictive_accuracy: 0.7378, prior_entropy: 0.9912, recall: 0.7378, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0305, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, build_cpu_time: 0.007, build_memory: 460549375.2, f_measure: 0.706, kappa: 0.4038, kb_relative_information_score: 526.2069, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7058, predictive_accuracy: 0.7067, prior_entropy: 0.9912, recall: 0.7067, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9788, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, build_cpu_time: 0.0536, build_memory: 942619208, f_measure: 0.8073, kappa: 0.6088, kb_relative_information_score: 609.6111, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.808, predictive_accuracy: 0.8081, prior_entropy: 0.9912, recall: 0.8081, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7391, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, build_cpu_time: 0.0476, build_memory: 375781848, f_measure: 0.8073, kappa: 0.6088, kb_relative_information_score: 609.6111, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.808, predictive_accuracy: 0.8081, prior_entropy: 0.9912, recall: 0.8081, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7391, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, build_cpu_time: 0.0014, build_memory: 707661424, f_measure: 0.7371, kappa: 0.4667, kb_relative_information_score: 629.2353, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.737, predictive_accuracy: 0.7378, prior_entropy: 0.9912, recall: 0.7378, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0305, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, build_cpu_time: 0.0019, build_memory: 2629448937.6, f_measure: 0.7371, kappa: 0.4667, kb_relative_information_score: 629.2353, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.737, predictive_accuracy: 0.7378, prior_entropy: 0.9912, recall: 0.7378, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0305, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, build_cpu_time: 0.0552, build_memory: 2812869352.8, f_measure: 0.8073, kappa: 0.6088, kb_relative_information_score: 609.6111, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.808, predictive_accuracy: 0.8081, prior_entropy: 0.9912, recall: 0.8081, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7391, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7821, kappa: 0.5574, kb_relative_information_score: 719.5122, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7839, predictive_accuracy: 0.7837, prior_entropy: 0.9912, recall: 0.7837, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8819, scimark_benchmark: 1330.2021, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 1356.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8251, kappa: 0.645, kb_relative_information_score: 793.2835, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.826, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7467, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, build_cpu_time: 0.0206, build_memory: 1902181764.8, f_measure: 0.432, kappa: 0.0309, kb_relative_information_score: 159.0218, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.6358, predictive_accuracy: 0.5667, prior_entropy: 0.9912, recall: 0.5667, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3248, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.0698, build_memory: 1252088815.2, f_measure: 0.8075, kappa: 0.6095, kb_relative_information_score: 617.7757, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9912, recall: 0.8081, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7365, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.0758, build_memory: 697548978.4, f_measure: 0.8075, kappa: 0.6095, kb_relative_information_score: 617.7757, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9912, recall: 0.8081, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7365, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, build_cpu_time: 0.0535, build_memory: 527032901.6, f_measure: 0.8347, kappa: 0.6644, kb_relative_information_score: 856.8367, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8359, predictive_accuracy: 0.8356, prior_entropy: 0.9912, recall: 0.8356, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7393, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, build_cpu_time: 0.0004, build_memory: 38253296.8, f_measure: 0.7564, kappa: 0.5069, kb_relative_information_score: 680.1242, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7565, predictive_accuracy: 0.7563, prior_entropy: 0.9912, recall: 0.7563, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9935, scimark_benchmark: 946.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, build_cpu_time: 0.0001, build_memory: 135232082.4, f_measure: 0.7564, kappa: 0.5069, kb_relative_information_score: 680.1242, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7565, predictive_accuracy: 0.7563, prior_entropy: 0.9912, recall: 0.7563, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9935, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, build_cpu_time: 0.9382, build_memory: 2044558832, f_measure: 0.8373, kappa: 0.6698, kb_relative_information_score: 852.6493, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8377, predictive_accuracy: 0.8378, prior_entropy: 0.9912, recall: 0.8378, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7381, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.2453, build_memory: 868064442.4, f_measure: 0.8364, kappa: 0.6679, kb_relative_information_score: 858.7064, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8371, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7353, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.0992, build_memory: 252303435.2, f_measure: 0.8204, kappa: 0.6357, kb_relative_information_score: 780.9694, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8204, predictive_accuracy: 0.8207, prior_entropy: 0.9912, recall: 0.8207, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7551, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.1006, build_memory: 391889578.4, f_measure: 0.8204, kappa: 0.6357, kb_relative_information_score: 780.9694, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8204, predictive_accuracy: 0.8207, prior_entropy: 0.9912, recall: 0.8207, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7551, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, build_cpu_time: 0.1014, build_memory: 106825434.4, f_measure: 0.8078, kappa: 0.6096, kb_relative_information_score: 566.9386, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8091, predictive_accuracy: 0.8089, prior_entropy: 0.9912, recall: 0.8089, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7464, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 15.2358, build_memory: 24954036, f_measure: 0.7893, kappa: 0.5721, kb_relative_information_score: 773.4404, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7901, predictive_accuracy: 0.7904, prior_entropy: 0.9912, recall: 0.7904, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9141, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, build_cpu_time: 7.2588, build_memory: 601812043.2, f_measure: 0.7864, kappa: 0.5662, kb_relative_information_score: 764.315, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7871, predictive_accuracy: 0.7874, prior_entropy: 0.9912, recall: 0.7874, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9161, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 12.4179, build_memory: 136794660.8, f_measure: 0.8018, kappa: 0.5981, kb_relative_information_score: 803.3462, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8931, scimark_benchmark: 938.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0005, build_memory: 167721118.4, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 852.4257, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7316, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0005, build_memory: 23570312.8, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 852.4257, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7316, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, build_cpu_time: 0.0366, build_memory: 1117277310.4, f_measure: 0.8097, kappa: 0.6138, kb_relative_information_score: 614.2931, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8101, predictive_accuracy: 0.8104, prior_entropy: 0.9912, recall: 0.8104, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7399, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, build_cpu_time: 0.0149, build_memory: 2779230494.4, f_measure: 0.7628, kappa: 0.5194, kb_relative_information_score: 690.8738, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9912, recall: 0.763, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9727, scimark_benchmark: 931.9671,

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