Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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173956 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2262.6318, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4828, scimark_benchmark: 1983.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8741, kappa: 0.7477, kb_relative_information_score: 1943.5869, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6078, scimark_benchmark: 1997.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6639, kappa: 0.3387, kb_relative_information_score: 1110.0656, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.689, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.142, scimark_benchmark: 1964.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 676.8474, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, scimark_benchmark: 2003.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3103.2369, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.1881, scimark_benchmark: 2011.1068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8741, kappa: 0.7477, kb_relative_information_score: 1948.4424, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6072, scimark_benchmark: 2009.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 2941.1048, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, recall: 0.9743, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3021, scimark_benchmark: 2017.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9737, kappa: 0.9474, kb_relative_information_score: 2792.0709, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9738, predictive_accuracy: 0.9737, prior_entropy: 0.9986, recall: 0.9737, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3218, scimark_benchmark: 946.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9643, kappa: 0.9284, kb_relative_information_score: 1819.623, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 0.9986, recall: 0.9643, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5552, scimark_benchmark: 940.1686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3158.0516, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.1387, scimark_benchmark: 909.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2942.5821, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9986, recall: 0.97, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3046, scimark_benchmark: 945.1916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9524, kappa: 0.9045, kb_relative_information_score: 2188.5847, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9534, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.484, scimark_benchmark: 948.5555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 3121.2434, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1753, scimark_benchmark: 946.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838, scimark_benchmark: 950.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9183, kb_relative_information_score: 2603.0368, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9607, predictive_accuracy: 0.9593, prior_entropy: 0.9986, recall: 0.9593, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.3918, scimark_benchmark: 912.4492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9489, kappa: 0.8975, kb_relative_information_score: 2110.2799, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9502, predictive_accuracy: 0.949, prior_entropy: 0.9986, recall: 0.949, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5032, scimark_benchmark: 943.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838, scimark_benchmark: 914.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6639, kappa: 0.3387, kb_relative_information_score: 1110.0656, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.689, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.142, scimark_benchmark: 942.9158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838, scimark_benchmark: 946.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2090.3728, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5392, scimark_benchmark: 909.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9511, kappa: 0.902, kb_relative_information_score: 2154.5381, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9523, predictive_accuracy: 0.9512, prior_entropy: 0.9986, recall: 0.9512, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.4927, scimark_benchmark: 912.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 3037.4318, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1782, scimark_benchmark: 943.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 2885.1691, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3121, scimark_benchmark: 945.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6639, kappa: 0.3387, kb_relative_information_score: 1110.0656, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.689, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.142, scimark_benchmark: 925.8724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3095.2601, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.1707, scimark_benchmark: 949.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6639, kappa: 0.3387, kb_relative_information_score: 1110.0656, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.689, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.142, scimark_benchmark: 943.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838, scimark_benchmark: 947.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 3103.3841, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.1722, scimark_benchmark: 932.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9684, kappa: 0.9366, kb_relative_information_score: 2477.853, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9688, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4082, scimark_benchmark: 948.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3149.6111, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.1443, scimark_benchmark: 944.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 2941.1048, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, recall: 0.9743, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3021, scimark_benchmark: 911.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.64, kappa: 0.3427, kb_relative_information_score: 1152.1853, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7951, predictive_accuracy: 0.6812, prior_entropy: 0.9986, recall: 0.6812, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1304, scimark_benchmark: 947.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3155.8803, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584, scimark_benchmark: 948.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9681, kappa: 0.936, kb_relative_information_score: 2927.2532, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3088, scimark_benchmark: 947.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3145.7891, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1446, scimark_benchmark: 927.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6639, kappa: 0.3387, kb_relative_information_score: 1110.0656, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.689, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.142, scimark_benchmark: 948.6313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838, scimark_benchmark: 948.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 3032.0271, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 0.9986, recall: 0.9787, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2487, scimark_benchmark: 947.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 3179.9487, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 946.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9834, kappa: 0.9668, kb_relative_information_score: 3089.6922, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9986, recall: 0.9834, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2578, scimark_benchmark: 945.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9906, kappa: 0.9812, kb_relative_information_score: 3098.2476, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.9986, recall: 0.9906, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1698, scimark_benchmark: 948.4807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3097.4327, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.1712, scimark_benchmark: 909.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3158.0516, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.1387, scimark_benchmark: 945.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 2899.0921, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9986, recall: 0.984, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2505, scimark_benchmark: 921.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.99, kappa: 0.9799, kb_relative_information_score: 3111.3459, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9986, recall: 0.99, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.1947, scimark_benchmark: 908.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9909, kappa: 0.9818, kb_relative_information_score: 2907.7105, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.9986, recall: 0.9909, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2184, scimark_benchmark: 947.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 2955.1466, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.2945, scimark_benchmark: 948.5545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 3027.8722, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2494, scimark_benchmark: 948.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.99, kappa: 0.9799, kb_relative_information_score: 3094.7746, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9986, recall: 0.99, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1716, scimark_benchmark: 947.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9146, kappa: 0.8288, kb_relative_information_score: 2648.438, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 0.9986, recall: 0.9146, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5851, scimark_benchmark: 945.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9499, kappa: 0.8997, kb_relative_information_score: 2875.7526, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9986, recall: 0.9499, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4463, scimark_benchmark: 946.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.7033, kappa: 0.4537, kb_relative_information_score: 945.4596, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8132, predictive_accuracy: 0.7209, prior_entropy: 0.9986, recall: 0.7209, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8188, scimark_benchmark: 946.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 3105.7378, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2376, scimark_benchmark: 947.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3147.1038, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1445, scimark_benchmark: 945.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.004, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 946.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3168.8456, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1241, scimark_benchmark: 948.2928,

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