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Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 4346 Supervised Classification fri_c2_100_25 225 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7997, kappa: 0.5908, kb_relative_information_score: 446.3105, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8351, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7679, kappa: 0.5262, kb_relative_information_score: 448.2326, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9864, recall: 0.768, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8572, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7919, kappa: 0.5754, kb_relative_information_score: 549.5919, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9864, recall: 0.792, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8559, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7267, kappa: 0.4407, kb_relative_information_score: 440.3606, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.728, prior_entropy: 0.9864, recall: 0.728, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0534, scimark_benchmark: 944.1067, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7267, kappa: 0.4407, kb_relative_information_score: 440.3606, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.728, prior_entropy: 0.9864, recall: 0.728, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0534, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8168, kappa: 0.6249, kb_relative_information_score: 579.2373, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9864, recall: 0.818, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7521, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.828, kappa: 0.6493, kb_relative_information_score: 476.3418, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9864, recall: 0.828, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7558, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7239, kappa: 0.4392, kb_relative_information_score: 300.6591, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7258, predictive_accuracy: 0.723, prior_entropy: 0.9864, recall: 0.723, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9225, scimark_benchmark: 916.0735, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8089, kappa: 0.61, kb_relative_information_score: 525.0857, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.9864, recall: 0.809, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8115, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7267, kappa: 0.4407, kb_relative_information_score: 440.3606, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.728, prior_entropy: 0.9864, recall: 0.728, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0534, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7267, kappa: 0.4407, kb_relative_information_score: 440.3606, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.728, prior_entropy: 0.9864, recall: 0.728, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0534, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8518, kappa: 0.6974, kb_relative_information_score: 415.72, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9864, recall: 0.852, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7387, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7997, kappa: 0.5908, kb_relative_information_score: 446.3105, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8351, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7679, kappa: 0.5262, kb_relative_information_score: 448.2326, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9864, recall: 0.768, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8572, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7919, kappa: 0.5754, kb_relative_information_score: 549.5919, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9864, recall: 0.792, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8559, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7267, kappa: 0.4407, kb_relative_information_score: 440.3606, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.728, prior_entropy: 0.9864, recall: 0.728, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0534, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7267, kappa: 0.4407, kb_relative_information_score: 440.3606, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.728, prior_entropy: 0.9864, recall: 0.728, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0534, scimark_benchmark: 943.6618, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8168, kappa: 0.6249, kb_relative_information_score: 579.2373, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9864, recall: 0.818, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7521, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8168, kappa: 0.6249, kb_relative_information_score: 579.2373, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9864, recall: 0.818, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7521, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.828, kappa: 0.6493, kb_relative_information_score: 476.3418, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9864, recall: 0.828, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7558, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7239, kappa: 0.4392, kb_relative_information_score: 300.6591, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7258, predictive_accuracy: 0.723, prior_entropy: 0.9864, recall: 0.723, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9225, scimark_benchmark: 905.2959, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8168, kappa: 0.6249, kb_relative_information_score: 579.2373, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9864, recall: 0.818, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7521, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8089, kappa: 0.61, kb_relative_information_score: 525.0857, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.9864, recall: 0.809, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8115, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8518, kappa: 0.6974, kb_relative_information_score: 415.72, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9864, recall: 0.852, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7387, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8461, kappa: 0.6864, kb_relative_information_score: 394.5994, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8463, predictive_accuracy: 0.846, prior_entropy: 0.9864, recall: 0.846, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7678, scimark_benchmark: 943.6618, usercpu_time_millis: 1610, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8428, kappa: 0.6791, kb_relative_information_score: 393.9787, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8428, predictive_accuracy: 0.843, prior_entropy: 0.9864, recall: 0.843, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7712, scimark_benchmark: 933.3455, usercpu_time_millis: 780, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8217, kappa: 0.6358, kb_relative_information_score: 390.7626, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8216, predictive_accuracy: 0.822, prior_entropy: 0.9864, recall: 0.822, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.774, scimark_benchmark: 862.7006, usercpu_time_millis: 450, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8229, kappa: 0.6386, kb_relative_information_score: 402.2194, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8229, predictive_accuracy: 0.823, prior_entropy: 0.9864, recall: 0.823, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7712, scimark_benchmark: 901.5805, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7938, kappa: 0.5788, kb_relative_information_score: 375.3894, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7936, predictive_accuracy: 0.794, prior_entropy: 0.9864, recall: 0.794, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8089, scimark_benchmark: 930.0025, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.751, kappa: 0.4922, kb_relative_information_score: 435.527, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.751, prior_entropy: 0.9864, recall: 0.751, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9232, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.751, kappa: 0.4922, kb_relative_information_score: 435.527, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.751, prior_entropy: 0.9864, recall: 0.751, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9232, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.751, kappa: 0.4922, kb_relative_information_score: 434.7416, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.751, prior_entropy: 0.9864, recall: 0.751, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9233, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7459, kappa: 0.4815, kb_relative_information_score: 427.01, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7459, predictive_accuracy: 0.746, prior_entropy: 0.9864, recall: 0.746, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9256, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7381, kappa: 0.4658, kb_relative_information_score: 404.0931, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7382, predictive_accuracy: 0.738, prior_entropy: 0.9864, recall: 0.738, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9318, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -1.6125, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.795, kappa: 0.5819, kb_relative_information_score: 575.2657, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7951, predictive_accuracy: 0.795, prior_entropy: 0.9864, recall: 0.795, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8912, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7949, kappa: 0.5814, kb_relative_information_score: 575.8545, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9864, recall: 0.795, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8892, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7961, kappa: 0.5841, kb_relative_information_score: 584.0324, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7961, predictive_accuracy: 0.796, prior_entropy: 0.9864, recall: 0.796, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8765, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7913, kappa: 0.575, kb_relative_information_score: 566.2347, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7918, predictive_accuracy: 0.791, prior_entropy: 0.9864, recall: 0.791, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8863, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.8197, kappa: 0.6307, kb_relative_information_score: 588.7284, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.821, predictive_accuracy: 0.821, prior_entropy: 0.9864, recall: 0.821, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7505, scimark_benchmark: 1318.4315,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8168, kappa: 0.6249, kb_relative_information_score: 579.2373, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9864, recall: 0.818, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7521, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7239, kappa: 0.4392, kb_relative_information_score: 300.6591, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7258, predictive_accuracy: 0.723, prior_entropy: 0.9864, recall: 0.723, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9225, scimark_benchmark: 1374.9737, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8168, kappa: 0.6249, kb_relative_information_score: 579.2373, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9864, recall: 0.818, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7521, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8518, kappa: 0.6974, kb_relative_information_score: 415.72, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9864, recall: 0.852, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7387, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7879, kappa: 0.5673, kb_relative_information_score: 542.5332, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9864, recall: 0.788, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8637, scimark_benchmark: 1358.6198, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.828, kappa: 0.6493, kb_relative_information_score: 476.3418, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9864, recall: 0.828, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7558, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8089, kappa: 0.61, kb_relative_information_score: 525.0857, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.9864, recall: 0.809, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8115, scimark_benchmark: 1320.8283, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8518, kappa: 0.6974, kb_relative_information_score: 415.72, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9864, recall: 0.852, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7387, scimark_benchmark: 1320.8283, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs