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Function: require_once

OpenML
Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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887 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7854, kappa: 0.5657, kb_relative_information_score: 133.0096, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8371, scimark_benchmark: 948.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7755, kappa: 0.5439, kb_relative_information_score: 130.4597, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7788, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8364, scimark_benchmark: 922.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7455, kappa: 0.4831, kb_relative_information_score: 131.5466, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7483, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.01, scimark_benchmark: 944.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7553, kappa: 0.5042, kb_relative_information_score: 133.9175, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7552, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9463, scimark_benchmark: 946.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6656, kappa: 0.3342, kb_relative_information_score: 96.9422, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7026, predictive_accuracy: 0.6852, prior_entropy: 0.9912, recall: 0.6852, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1292, scimark_benchmark: 928.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7553, kappa: 0.5042, kb_relative_information_score: 133.9175, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7552, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9463, scimark_benchmark: 910.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6656, kappa: 0.3342, kb_relative_information_score: 96.9422, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7026, predictive_accuracy: 0.6852, prior_entropy: 0.9912, recall: 0.6852, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1292, scimark_benchmark: 948.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.733, kappa: 0.458, kb_relative_information_score: 125.44, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7383, predictive_accuracy: 0.737, prior_entropy: 0.9912, recall: 0.737, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.032, scimark_benchmark: 920.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7697, kappa: 0.5327, kb_relative_information_score: 143.76, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7698, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9644, scimark_benchmark: 945.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8248, kappa: 0.6442, kb_relative_information_score: 124.2775, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8265, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7356, scimark_benchmark: 913.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8107, kappa: 0.6159, kb_relative_information_score: 124.1124, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8108, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7317, scimark_benchmark: 929.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7221, kappa: 0.437, kb_relative_information_score: 70.8179, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9059, scimark_benchmark: 918.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1689, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4133, kappa: 0.0185, kb_relative_information_score: 29.7688, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7554, predictive_accuracy: 0.563, prior_entropy: 0.9912, recall: 0.563, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3304, scimark_benchmark: 913.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7807, kappa: 0.5549, kb_relative_information_score: 130.1217, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8557, scimark_benchmark: 948.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 126.9672, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8069, scimark_benchmark: 944.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 162.08, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8916, scimark_benchmark: 932.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7221, kappa: 0.437, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, scimark_benchmark: 949.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8183, kappa: 0.6316, kb_relative_information_score: 140.4074, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7578, scimark_benchmark: 918.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8402, kappa: 0.6756, kb_relative_information_score: 182.4355, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9912, recall: 0.8407, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8031, scimark_benchmark: 948.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8365, kappa: 0.6683, kb_relative_information_score: 180.4, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8124, scimark_benchmark: 923.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.5613, kappa: 0.1892, kb_relative_information_score: 66.4088, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.706, predictive_accuracy: 0.6296, prior_entropy: 0.9912, recall: 0.6296, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2247, scimark_benchmark: 948.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7994, kappa: 0.593, kb_relative_information_score: 129.7431, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7996, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7408, scimark_benchmark: 912.1487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8315, kappa: 0.6577, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8365, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, scimark_benchmark: 947.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7809, kappa: 0.5556, kb_relative_information_score: 149.8666, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9407, scimark_benchmark: 946.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 126.9672, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8069, scimark_benchmark: 882.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.773, kappa: 0.539, kb_relative_information_score: 137.5972, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7736, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9124, scimark_benchmark: 916.0509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 140.5337, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7681, scimark_benchmark: 939.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7958, kappa: 0.5858, kb_relative_information_score: 128.2453, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7645, scimark_benchmark: 819.2883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 880.2006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7857, kappa: 0.5649, kb_relative_information_score: 128.8797, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7925, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8476, scimark_benchmark: 915.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7953, kappa: 0.5844, kb_relative_information_score: 123.4758, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8186, scimark_benchmark: 945.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 916.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 932.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8018, kappa: 0.5975, kb_relative_information_score: 162.08, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8051, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8916, scimark_benchmark: 946.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 949.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.814, kappa: 0.6225, kb_relative_information_score: 168.1866, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8147, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.866, scimark_benchmark: 914.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7986, kappa: 0.5909, kb_relative_information_score: 137.5429, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7758, scimark_benchmark: 912.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 124.3614, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7301, scimark_benchmark: 912.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.0044, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 912.2006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8359, kappa: 0.6667, kb_relative_information_score: 124.4676, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8381, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7324, scimark_benchmark: 948.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7551, kappa: 0.5033, kb_relative_information_score: 135.6177, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.755, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.995, scimark_benchmark: 946.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.4985, kappa: 0.1131, kb_relative_information_score: 50.1244, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7126, predictive_accuracy: 0.6, prior_entropy: 0.9912, recall: 0.6, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2728, scimark_benchmark: 910.1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 145.4052, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289, scimark_benchmark: 946.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7956, kappa: 0.5851, kb_relative_information_score: 131.3788, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7756, scimark_benchmark: 946.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 919.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7892, kappa: 0.5722, kb_relative_information_score: 135.5972, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7969, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8526, scimark_benchmark: 902.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.4579, kappa: 0.0661, kb_relative_information_score: 39.9466, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7122, predictive_accuracy: 0.5815, prior_entropy: 0.9912, recall: 0.5815, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3019, scimark_benchmark: 910.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.806, kappa: 0.6061, kb_relative_information_score: 131.721, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.808, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7615, scimark_benchmark: 935.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7707, kappa: 0.5365, kb_relative_information_score: 139.4933, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7714, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7911, scimark_benchmark: 935.2639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 170.2222, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8573, scimark_benchmark: 912.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5775, kappa: 0.1418, kb_relative_information_score: 39.9466, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.5771, predictive_accuracy: 0.5815, prior_entropy: 0.9912, recall: 0.5815, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3019, scimark_benchmark: 913.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 941.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7221, kappa: 0.437, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, scimark_benchmark: 921.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8248, kappa: 0.6442, kb_relative_information_score: 124.6834, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8265, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7322, scimark_benchmark: 912.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8222, kappa: 0.64, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8222, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 945.7684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 947.1292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7221, kappa: 0.437, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, scimark_benchmark: 946.3058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7911, kappa: 0.5758, kb_relative_information_score: 127.1319, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7929, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7848, scimark_benchmark: 948.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7474, kappa: 0.4874, kb_relative_information_score: 135.4143, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7474, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8731, scimark_benchmark: 915.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 945.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368, scimark_benchmark: 2015.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 2007.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, scimark_benchmark: 2011.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8246, kappa: 0.6436, kb_relative_information_score: 174.2933, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8271, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8396, scimark_benchmark: 2023.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8018, kappa: 0.5975, kb_relative_information_score: 128.6082, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8051, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7677, scimark_benchmark: 2010.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 2019.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.785, kappa: 0.5643, kb_relative_information_score: 121.1424, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7849, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8301, scimark_benchmark: 2008.6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 2015.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7843, kappa: 0.5621, kb_relative_information_score: 140.5144, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7848, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8648, scimark_benchmark: 2010.0595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 123.3802, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.744, scimark_benchmark: 2020.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7486, kappa: 0.4894, kb_relative_information_score: 110.3302, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.753, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.842, scimark_benchmark: 1982.2698,

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