OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 257 Supervised Classification colic 351 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, build_cpu_time: 3.918, build_memory: 59948728, f_measure: 0.7012, kappa: 0.3963, kb_relative_information_score: 49.4837, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7016, predictive_accuracy: 0.7025, prior_entropy: 0.9509, recall: 0.7025, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0802, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, build_cpu_time: 2.249, build_memory: 983711264, f_measure: 0.6933, kappa: 0.3805, kb_relative_information_score: 47.7507, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6933, predictive_accuracy: 0.6942, prior_entropy: 0.9509, recall: 0.6942, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.0859, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, build_cpu_time: 1.532, build_memory: 632648720, f_measure: 0.6846, kappa: 0.3628, kb_relative_information_score: 44.1431, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6848, predictive_accuracy: 0.686, prior_entropy: 0.9509, recall: 0.686, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1091, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, build_cpu_time: 0.655, build_memory: 1206802704, f_measure: 0.6933, kappa: 0.3805, kb_relative_information_score: 46.7373, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6933, predictive_accuracy: 0.6942, prior_entropy: 0.9509, recall: 0.6942, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.0862, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, build_cpu_time: 0.532, build_memory: 1010645144, f_measure: 0.7099, kappa: 0.414, kb_relative_information_score: 50.6259, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7099, predictive_accuracy: 0.7107, prior_entropy: 0.9509, recall: 0.7107, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.0567, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, build_cpu_time: 0.031, build_memory: 17572456, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 69.4665, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8524, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.045, build_memory: 389959376, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.046, build_memory: 134027640, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.048, build_memory: 1127752416, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, build_cpu_time: 0.08, build_memory: 1667468008, f_measure: 0.7842, kappa: 0.564, kb_relative_information_score: 68.0433, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8578, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.005, build_memory: 1382074496, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.005, build_memory: 2524470432, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.002, build_memory: 2630146344, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.003, build_memory: 807924280, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 0.003, build_memory: 452917296, f_measure: 0.7521, kappa: 0.5039, kb_relative_information_score: 64.3569, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7771, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.8973, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 0.172, build_memory: 1513033928, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 56.1391, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7476, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 0.213, build_memory: 696922344, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 56.1391, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7476, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 0.162, build_memory: 2566752272, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 56.1391, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7476, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 0.211, build_memory: 260836224, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 56.1391, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7476, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 0.21, build_memory: 1832184120, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 56.1391, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7476, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, build_cpu_time: 0.153, build_memory: 506104512, f_measure: 0.7258, kappa: 0.4458, kb_relative_information_score: 58.8728, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7268, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9793, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 0.071, build_memory: 355209312, f_measure: 0.7494, kappa: 0.4939, kb_relative_information_score: 59.5595, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7536, predictive_accuracy: 0.7521, prior_entropy: 0.9509, recall: 0.7521, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9522, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, build_cpu_time: 0.025, build_memory: 1270544208, f_measure: 0.7249, kappa: 0.4441, kb_relative_information_score: 55.2117, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7275, predictive_accuracy: 0.7273, prior_entropy: 0.9509, recall: 0.7273, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9394, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, build_cpu_time: 0.012, build_memory: 1089329360, f_measure: 0.7355, kappa: 0.4667, kb_relative_information_score: 52.7013, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7355, predictive_accuracy: 0.7355, prior_entropy: 0.9509, recall: 0.7355, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9235, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, build_cpu_time: 0.006, build_memory: 511903808, f_measure: 0.717, kappa: 0.4281, kb_relative_information_score: 50.0845, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7186, predictive_accuracy: 0.719, prior_entropy: 0.9509, recall: 0.719, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.902, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.021, build_memory: 2403504064, f_measure: 0.6925, kappa: 0.3786, kb_relative_information_score: 50.702, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6932, predictive_accuracy: 0.6942, prior_entropy: 0.9509, recall: 0.6942, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9327, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.03, build_memory: 750339232, f_measure: 0.7596, kappa: 0.5145, kb_relative_information_score: 55.5227, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9399, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.03, build_memory: 1895696992, f_measure: 0.7596, kappa: 0.5145, kb_relative_information_score: 55.5227, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9399, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.032, build_memory: 1593290824, f_measure: 0.7596, kappa: 0.5145, kb_relative_information_score: 55.5227, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9399, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.049, build_memory: 729079416, f_measure: 0.7596, kappa: 0.5145, kb_relative_information_score: 55.5227, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9399, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, build_cpu_time: 3.253, build_memory: 23972760, f_measure: 0.7908, kappa: 0.5776, kb_relative_information_score: 66.7404, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7973, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8833, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, build_cpu_time: 6.396, build_memory: 20991728, f_measure: 0.774, kappa: 0.5438, kb_relative_information_score: 69.4353, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7802, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8863, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, build_cpu_time: 12.563, build_memory: 134173224, f_measure: 0.8169, kappa: 0.63, kb_relative_information_score: 77.835, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8197, predictive_accuracy: 0.8182, prior_entropy: 0.9509, recall: 0.8182, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8308, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, build_cpu_time: 25.897, build_memory: 755480840, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 77.5258, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8633, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, build_cpu_time: 53.433, build_memory: 40873576, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 78.8639, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8528, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 105.536, build_memory: 1491064728, f_measure: 0.7424, kappa: 0.4794, kb_relative_information_score: 60.7359, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7435, predictive_accuracy: 0.7438, prior_entropy: 0.9509, recall: 0.7438, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0022, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 53.345, build_memory: 593634640, f_measure: 0.7424, kappa: 0.4794, kb_relative_information_score: 60.6285, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7435, predictive_accuracy: 0.7438, prior_entropy: 0.9509, recall: 0.7438, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0024, scimark_benchmark: 925.419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.006, build_memory: 1134913456, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 65.1537, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9694, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 0.066, build_memory: 548942008, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 0.065, build_memory: 489802696, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 0.088, build_memory: 782202360, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 0.066, build_memory: 193493800, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 690852736, f_measure: 0.385, kb_relative_information_score: 1.0515, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2975, predictive_accuracy: 0.5455, prior_entropy: 0.9509, recall: 0.5455, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0167, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, build_cpu_time: 0.052, build_memory: 102823568, f_measure: 0.385, kb_relative_information_score: 11.1403, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2975, predictive_accuracy: 0.5455, prior_entropy: 0.9509, recall: 0.5455, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2716, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, build_cpu_time: 0.29, build_memory: 562988880, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 67.7047, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.818, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, build_cpu_time: 0.284, build_memory: 292576856, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 67.7047, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.818, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 0.852, build_memory: 137242344, f_measure: 0.8089, kappa: 0.6137, kb_relative_information_score: 65.1107, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8106, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8251, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, build_cpu_time: 1.131, build_memory: 233096552, f_measure: 0.8094, kappa: 0.6149, kb_relative_information_score: 64.7614, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8239, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 2.688, build_memory: 528722912, f_measure: 0.8094, kappa: 0.6149, kb_relative_information_score: 64.1058, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8252, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, build_cpu_time: 5.485, build_memory: 371854896, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 63.2934, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8328, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, build_cpu_time: 0.215, build_memory: 416084048, f_measure: 0.8002, kappa: 0.5963, kb_relative_information_score: 60.1822, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8029, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7725, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.131, build_memory: 1700930952, f_measure: 0.8089, kappa: 0.6137, kb_relative_information_score: 61.7703, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8106, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7593, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.104, build_memory: 1544788080, f_measure: 0.8089, kappa: 0.6137, kb_relative_information_score: 61.7703, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8106, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7593, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.108, build_memory: 2250680200, f_measure: 0.8089, kappa: 0.6137, kb_relative_information_score: 61.7703, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8106, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7593, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, build_cpu_time: 0.277, build_memory: 282851192, f_measure: 0.8094, kappa: 0.6149, kb_relative_information_score: 58.7114, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7804, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, build_cpu_time: 0.222, build_memory: 753220688, f_measure: 0.8094, kappa: 0.6149, kb_relative_information_score: 58.7114, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7804, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, build_cpu_time: 0.056, build_memory: 631743664, f_measure: 0.7819, kappa: 0.56, kb_relative_information_score: 51.7742, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.79, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.7931, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.109, build_memory: 903866264, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 52.6436, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7747, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, build_cpu_time: 0.519, build_memory: 2197438408, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 53.2719, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.766, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, build_cpu_time: 21.866, build_memory: 1225653336, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 53.4254, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7629, scimark_benchmark: 910.0739,

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