OpenML
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3500 Supervised Classification squash-unstored 383 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7865, kappa: 0.6227, kb_relative_information_score: 30.9423, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7867, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.8048, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7541, kappa: 0.5711, kb_relative_information_score: 26.1373, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7677, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8888, scimark_benchmark: 1363.434, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7541, kappa: 0.5711, kb_relative_information_score: 26.0973, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7677, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.8842, scimark_benchmark: 1250.8301, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7541, kappa: 0.5711, kb_relative_information_score: 26.6508, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7677, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8658, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7357, kappa: 0.5381, kb_relative_information_score: 25.4404, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7465, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.846, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7357, kappa: 0.5381, kb_relative_information_score: 24.2671, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7465, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.8215, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.6538, kappa: 0.4011, kb_relative_information_score: 18.6936, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6368, predictive_accuracy: 0.6731, prior_entropy: 1.3486, recall: 0.6731, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.9417, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.6593, kappa: 0.4091, kb_relative_information_score: 18.689, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6462, predictive_accuracy: 0.6731, prior_entropy: 1.3486, recall: 0.6731, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9263, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.4206, kappa: -0.0357, kb_relative_information_score: 3.6488, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.4034, predictive_accuracy: 0.4423, prior_entropy: 1.3486, recall: 0.4423, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4638, root_relative_squared_error: 1.0656, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7787, kappa: 0.6176, kb_relative_information_score: 19.4808, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7766, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.352, root_relative_squared_error: 0.8088, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7251, kappa: 0.5198, kb_relative_information_score: 28.243, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7218, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.356, root_relative_squared_error: 0.818, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7242, kappa: 0.5134, kb_relative_information_score: 26.3352, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7385, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9734, scimark_benchmark: 916.9356, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7186, kappa: 0.4987, kb_relative_information_score: 19.7961, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7305, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9385, scimark_benchmark: 1315.3881, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.5186, kappa: 0.1536, kb_relative_information_score: 10.7152, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5217, predictive_accuracy: 0.5192, prior_entropy: 1.3486, recall: 0.5192, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.2756, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4006, f_measure: 0.3767, kappa: -0.1071, kb_relative_information_score: -1.1062, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3695, predictive_accuracy: 0.4038, prior_entropy: 1.3486, recall: 0.4038, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.1353, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.7367, kappa: 0.5714, kb_relative_information_score: 24.0259, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7088, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.845, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5543, kappa: 0.2111, kb_relative_information_score: 12.908, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5548, predictive_accuracy: 0.5577, prior_entropy: 1.3486, recall: 0.5577, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.543, root_relative_squared_error: 1.2476, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.3323, kappa: 0.0357, kb_relative_information_score: 5.7651, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6787, predictive_accuracy: 0.4808, prior_entropy: 1.3486, recall: 0.4808, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.3517, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7244, kappa: 0.5198, kb_relative_information_score: 25.6066, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7317, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9386, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.6943, kappa: 0.4583, kb_relative_information_score: 23.3514, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6986, predictive_accuracy: 0.6923, prior_entropy: 1.3486, recall: 0.6923, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0406, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.7884, kappa: 0.6276, kb_relative_information_score: 29.6682, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.789, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.7612, scimark_benchmark: 917.4321, usercpu_time_millis: 1050, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6891, kappa: 0.4653, kb_relative_information_score: 25.702, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6994, predictive_accuracy: 0.6923, prior_entropy: 1.3486, recall: 0.6923, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0406, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3831, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -0.2265, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.0053, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7517, kappa: 0.5764, kb_relative_information_score: 27.5756, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7701, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9309, scimark_benchmark: 1503.3362, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8613, kappa: 0.7567, kb_relative_information_score: 37.4769, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8708, predictive_accuracy: 0.8654, prior_entropy: 1.3486, recall: 0.8654, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6782, scimark_benchmark: 945.7621, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8237, kappa: 0.6872, kb_relative_information_score: 35.019, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8338, predictive_accuracy: 0.8269, prior_entropy: 1.3486, recall: 0.8269, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.729, scimark_benchmark: 943.2817, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8268, kappa: 0.6913, kb_relative_information_score: 36.8871, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.831, predictive_accuracy: 0.8269, prior_entropy: 1.3486, recall: 0.8269, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.7222, scimark_benchmark: 943.2817, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8649, kappa: 0.7599, kb_relative_information_score: 38.7567, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8688, predictive_accuracy: 0.8654, prior_entropy: 1.3486, recall: 0.8654, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6788, scimark_benchmark: 943.2817, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7449, kappa: 0.5541, kb_relative_information_score: 29.3765, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.741, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8968, scimark_benchmark: 911.3823, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7687, kappa: 0.5938, kb_relative_information_score: 29.3784, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7689, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8821, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7251, kappa: 0.5198, kb_relative_information_score: 28.6685, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7218, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8921, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.757, kappa: 0.5772, kb_relative_information_score: 29.2163, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7821, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.8617, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7192, kappa: 0.5357, kb_relative_information_score: 27.4983, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6913, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9146, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7391, kappa: 0.542, kb_relative_information_score: 27.5749, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7643, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9345, scimark_benchmark: 945.7621, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7472, kappa: 0.5481, kb_relative_information_score: 29.1078, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7599, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9261, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7652, kappa: 0.5829, kb_relative_information_score: 29.9542, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7797, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.8659, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, build_cpu_time: 0.0084, build_memory: 1244252492.3077, f_measure: 0.7606, kappa: 0.5829, kb_relative_information_score: 28.1037, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7683, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8239, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, build_cpu_time: 0.0147, build_memory: 607315054.9231, f_measure: 0.8081, kappa: 0.657, kb_relative_information_score: 36.0139, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8115, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7163, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 0.0523, build_memory: 582926283.8462, f_measure: 0.8454, kappa: 0.7256, kb_relative_information_score: 37.3532, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8516, predictive_accuracy: 0.8462, prior_entropy: 1.3486, recall: 0.8462, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.7255, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, build_cpu_time: 0.0993, build_memory: 1312560563.8462, f_measure: 0.8268, kappa: 0.6913, kb_relative_information_score: 36.1767, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.831, predictive_accuracy: 0.8269, prior_entropy: 1.3486, recall: 0.8269, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.7564, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 0.176, build_memory: 799230525.0769, f_measure: 0.8268, kappa: 0.6913, kb_relative_information_score: 35.9999, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.831, predictive_accuracy: 0.8269, prior_entropy: 1.3486, recall: 0.8269, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7678, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, build_cpu_time: 0.4252, build_memory: 25477031.3846, f_measure: 0.6876, kappa: 0.4512, kb_relative_information_score: 23.4249, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6841, predictive_accuracy: 0.6923, prior_entropy: 1.3486, recall: 0.6923, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4461, root_relative_squared_error: 1.025, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, build_cpu_time: 0.6973, build_memory: 915518918.9231, f_measure: 0.7106, kappa: 0.4922, kb_relative_information_score: 25.5813, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7103, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0004, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, build_cpu_time: 1.4615, build_memory: 331805124.3077, f_measure: 0.6902, kappa: 0.4583, kb_relative_information_score: 25.881, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6904, predictive_accuracy: 0.6923, prior_entropy: 1.3486, recall: 0.6923, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.984, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 6.3406, build_memory: 1084018193.2308, f_measure: 0.788, kappa: 0.6324, kb_relative_information_score: 33.1615, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7974, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.8628, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, build_cpu_time: 1.9804, build_memory: 797005759.0769, f_measure: 0.7673, kappa: 0.5938, kb_relative_information_score: 31.3097, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7711, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.8883, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 0.7861, build_memory: 1049600787.0769, f_measure: 0.8091, kappa: 0.6658, kb_relative_information_score: 34.0847, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.812, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8186, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, build_cpu_time: 0.3904, build_memory: 826444137.8462, f_measure: 0.7695, kappa: 0.5938, kb_relative_information_score: 30.8647, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7705, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.8401, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, build_cpu_time: 0.2034, build_memory: 542536191.2308, f_measure: 0.7613, kappa: 0.5884, kb_relative_information_score: 29.9677, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7584, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8495, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, build_cpu_time: 0.5262, build_memory: 664686411.8462, f_measure: 0.8226, kappa: 0.6872, kb_relative_information_score: 33.4105, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8343, predictive_accuracy: 0.8269, prior_entropy: 1.3486, recall: 0.8269, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7926, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 0.8181, build_memory: 400188130.9231, f_measure: 0.7852, kappa: 0.6227, kb_relative_information_score: 31.5355, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7853, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.8658, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, build_cpu_time: 1.5009, build_memory: 1133752900.9231, f_measure: 0.7652, kappa: 0.5884, kb_relative_information_score: 29.8167, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7669, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9072, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, build_cpu_time: 2.955, build_memory: 657736248.7692, f_measure: 0.8049, kappa: 0.657, kb_relative_information_score: 33.4782, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8044, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.8226, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, build_cpu_time: 0.1778, build_memory: 811561704.1538, f_measure: 0.75, kappa: 0.5599, kb_relative_information_score: 28.9927, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9376, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, build_cpu_time: 0.1455, build_memory: 596928151.3846, f_measure: 0.7303, kappa: 0.526, kb_relative_information_score: 27.6347, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7304, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9653, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, build_cpu_time: 0.076, build_memory: 772397807.3846, f_measure: 0.7303, kappa: 0.526, kb_relative_information_score: 27.5219, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7304, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9717, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, build_cpu_time: 0.0403, build_memory: 469869683.8462, f_measure: 0.7687, kappa: 0.5938, kb_relative_information_score: 29.9137, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7689, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.906, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 0.0301, build_memory: 364077971.5385, f_measure: 0.7687, kappa: 0.5938, kb_relative_information_score: 30.3961, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7689, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8658, scimark_benchmark: 917.4547,

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