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Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 29.3025, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.815, scimark_benchmark: 1342.1678, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 1360.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 46.9037, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7954, scimark_benchmark: 1206.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 35.6045, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9871, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 916.5769, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 29.8797, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8138, scimark_benchmark: 1350.4702, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8082, kappa: 0.6154, kb_relative_information_score: 41.2614, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8147, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7584, scimark_benchmark: 937.1527, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7573, kappa: 0.5136, kb_relative_information_score: 42.1845, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7646, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8778, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 46.9037, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7954, scimark_benchmark: 883.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 29.1072, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9057, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3869, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9438, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.6097, kappa: 0.2162, kb_relative_information_score: 21.5992, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6096, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2513, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5621, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9937, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7701, kappa: 0.5411, kb_relative_information_score: 35.479, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7741, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8326, scimark_benchmark: 912.7324, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6403, kappa: 0.2791, kb_relative_information_score: 28.4089, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1248, scimark_benchmark: 1319.4881, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.5732, kappa: 0.1729, kb_relative_information_score: 3.1551, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5974, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.0606, scimark_benchmark: 923.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7561, kappa: 0.5124, kb_relative_information_score: 38.2151, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8825, scimark_benchmark: 1059.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7624, kappa: 0.5298, kb_relative_information_score: 44.653, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7932, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8466, scimark_benchmark: 1311.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.759, kappa: 0.5159, kb_relative_information_score: 30.2467, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8147, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8197, kappa: 0.6378, kb_relative_information_score: 60.7719, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8235, scimark_benchmark: 1305.601, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.8029, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.86, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6902, kappa: 0.3815, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, scimark_benchmark: 1123.855, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 818.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7195, kappa: 0.4366, kb_relative_information_score: 41.6167, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7197, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0151, scimark_benchmark: 1337.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7195, kappa: 0.4366, kb_relative_information_score: 41.6167, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7197, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0151, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3731, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.944, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.62, kappa: 0.2373, kb_relative_information_score: 23.6092, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2351, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 18.637, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9364, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5542, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946, scimark_benchmark: 923.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 19.5892, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2672, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.82, kappa: 0.6387, kb_relative_information_score: 63.8096, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8501, scimark_benchmark: 1419.2433, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.667, kappa: 0.3478, kb_relative_information_score: 21.1047, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6873, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9668, scimark_benchmark: 1329.0992,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 52.8179, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8864, scimark_benchmark: 1344.3348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6698, kappa: 0.3432, kb_relative_information_score: 33.6593, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6761, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.151, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3175, kappa: -0.0023, kb_relative_information_score: -6.5411, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4856, predictive_accuracy: 0.47, prior_entropy: 0.9975, recall: 0.47, relative_absolute_error: 1.0638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.728, root_relative_squared_error: 1.4586, scimark_benchmark: 1292.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 52.3233, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9021, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7342, kappa: 0.4705, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7511, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.7648, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7, kappa: 0.3978, kb_relative_information_score: 36.4539, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0793, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.6702, kappa: 0.3384, kb_relative_information_score: 28.7404, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6705, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.0694, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 28.6131, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9817, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 28.6131, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9817, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 28.6131, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9817, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 49.2946, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9772, scimark_benchmark: 911.3823, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7092, kappa: 0.4158, kb_relative_information_score: 45.3483, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7097, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9934, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 42.9042, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0045, scimark_benchmark: 911.3823, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 37.9419, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0316, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 41.1812, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8197, kappa: 0.6378, kb_relative_information_score: 60.9931, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8182, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7997, kappa: 0.5976, kb_relative_information_score: 56.2673, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8404, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs