OpenML
Supervised Classification on analcatdata_runshoes

Supervised Classification on analcatdata_runshoes

Task 4412 Supervised Classification analcatdata_runshoes 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.6214, kappa: 0.2041, kb_relative_information_score: 68.2096, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6199, predictive_accuracy: 0.6283, prior_entropy: 0.9728, recall: 0.6283, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0269, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7668, kappa: 0.5146, kb_relative_information_score: 157.5234, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.767, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9145, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7018, kappa: 0.3844, kb_relative_information_score: 180.2425, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7056, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0032, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4429, kappa: -0.0298, kb_relative_information_score: 72.8546, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.3563, predictive_accuracy: 0.585, prior_entropy: 0.9728, recall: 0.585, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3149, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4429, kappa: -0.0298, kb_relative_information_score: 72.8546, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.3563, predictive_accuracy: 0.585, prior_entropy: 0.9728, recall: 0.585, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3149, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7238, kappa: 0.4227, kb_relative_information_score: 144.8855, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7232, predictive_accuracy: 0.725, prior_entropy: 0.9728, recall: 0.725, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8935, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7453, kappa: 0.467, kb_relative_information_score: 175.4569, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7447, predictive_accuracy: 0.7467, prior_entropy: 0.9728, recall: 0.7467, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.436, root_relative_squared_error: 0.89, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6398, kappa: 0.2533, kb_relative_information_score: 85.839, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6418, predictive_accuracy: 0.6383, prior_entropy: 0.9728, recall: 0.6383, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.513, root_relative_squared_error: 1.047, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4429, kappa: -0.0298, kb_relative_information_score: 72.8546, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.3563, predictive_accuracy: 0.585, prior_entropy: 0.9728, recall: 0.585, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3149, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4429, kappa: -0.0298, kb_relative_information_score: 72.8546, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.3563, predictive_accuracy: 0.585, prior_entropy: 0.9728, recall: 0.585, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3149, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.767, kappa: 0.5152, kb_relative_information_score: 187.6361, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7674, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8673, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.6214, kappa: 0.2041, kb_relative_information_score: 68.2096, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6199, predictive_accuracy: 0.6283, prior_entropy: 0.9728, recall: 0.6283, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0269, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7668, kappa: 0.5146, kb_relative_information_score: 157.5234, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.767, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9145, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7018, kappa: 0.3844, kb_relative_information_score: 180.2425, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7056, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0032, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4429, kappa: -0.0298, kb_relative_information_score: 72.8546, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.3563, predictive_accuracy: 0.585, prior_entropy: 0.9728, recall: 0.585, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3149, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4429, kappa: -0.0298, kb_relative_information_score: 72.8546, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.3563, predictive_accuracy: 0.585, prior_entropy: 0.9728, recall: 0.585, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3149, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7238, kappa: 0.4227, kb_relative_information_score: 144.8855, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7232, predictive_accuracy: 0.725, prior_entropy: 0.9728, recall: 0.725, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8935, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7453, kappa: 0.467, kb_relative_information_score: 175.4569, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7447, predictive_accuracy: 0.7467, prior_entropy: 0.9728, recall: 0.7467, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.436, root_relative_squared_error: 0.89, scimark_benchmark: 938.4601, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6398, kappa: 0.2533, kb_relative_information_score: 85.839, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6418, predictive_accuracy: 0.6383, prior_entropy: 0.9728, recall: 0.6383, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.513, root_relative_squared_error: 1.047, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.767, kappa: 0.5152, kb_relative_information_score: 187.6361, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7674, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8673, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7723, kappa: 0.5238, kb_relative_information_score: 185.6941, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7719, predictive_accuracy: 0.7733, prior_entropy: 0.9728, recall: 0.7733, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8642, scimark_benchmark: 1171.0303, usercpu_time_millis: 680, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7689, kappa: 0.5168, kb_relative_information_score: 190.2196, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7685, predictive_accuracy: 0.77, prior_entropy: 0.9728, recall: 0.77, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8574, scimark_benchmark: 938.4601, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7662, kappa: 0.5119, kb_relative_information_score: 187.1467, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7658, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8659, scimark_benchmark: 933.9243, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7445, kappa: 0.4669, kb_relative_information_score: 178.8438, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7442, predictive_accuracy: 0.745, prior_entropy: 0.9728, recall: 0.745, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.885, scimark_benchmark: 938.8535, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7461, kappa: 0.47, kb_relative_information_score: 184.5397, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7457, predictive_accuracy: 0.7467, prior_entropy: 0.9728, recall: 0.7467, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.88, scimark_benchmark: 942.5233, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7118, kappa: 0.3969, kb_relative_information_score: 181.2496, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.711, predictive_accuracy: 0.7133, prior_entropy: 0.9728, recall: 0.7133, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9506, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7118, kappa: 0.3969, kb_relative_information_score: 181.2496, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.711, predictive_accuracy: 0.7133, prior_entropy: 0.9728, recall: 0.7133, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9506, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7118, kappa: 0.3969, kb_relative_information_score: 181.2496, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.711, predictive_accuracy: 0.7133, prior_entropy: 0.9728, recall: 0.7133, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9506, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7133, kappa: 0.4, kb_relative_information_score: 182.0145, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7125, predictive_accuracy: 0.715, prior_entropy: 0.9728, recall: 0.715, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.949, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6911, kappa: 0.353, kb_relative_information_score: 173.0535, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6901, predictive_accuracy: 0.6933, prior_entropy: 0.9728, recall: 0.6933, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9524, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.45, kb_relative_information_score: -3.2746, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9728, recall: 0.6, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0031, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.6957, kappa: 0.3622, kb_relative_information_score: 205.6904, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6948, predictive_accuracy: 0.6983, prior_entropy: 0.9728, recall: 0.6983, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.063, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7, kappa: 0.3706, kb_relative_information_score: 221.5998, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6994, predictive_accuracy: 0.7033, prior_entropy: 0.9728, recall: 0.7033, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0341, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.718, kappa: 0.4093, kb_relative_information_score: 228.9466, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7172, predictive_accuracy: 0.72, prior_entropy: 0.9728, recall: 0.72, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0163, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6432, kappa: 0.2537, kb_relative_information_score: 96.7119, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.642, predictive_accuracy: 0.645, prior_entropy: 0.9728, recall: 0.645, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0279, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7453, kappa: 0.467, kb_relative_information_score: 175.4569, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7447, predictive_accuracy: 0.7467, prior_entropy: 0.9728, recall: 0.7467, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.436, root_relative_squared_error: 0.89, scimark_benchmark: 1345.6844, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7036, kappa: 0.3882, kb_relative_information_score: 182.0351, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7075, predictive_accuracy: 0.7017, prior_entropy: 0.9728, recall: 0.7017, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9993, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6432, kappa: 0.2537, kb_relative_information_score: 96.7119, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.642, predictive_accuracy: 0.645, prior_entropy: 0.9728, recall: 0.645, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0279, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6398, kappa: 0.2533, kb_relative_information_score: 85.839, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6418, predictive_accuracy: 0.6383, prior_entropy: 0.9728, recall: 0.6383, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.513, root_relative_squared_error: 1.047, scimark_benchmark: 1338.5214, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.767, kappa: 0.5152, kb_relative_information_score: 187.6361, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7674, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8673, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.6214, kappa: 0.2041, kb_relative_information_score: 68.2096, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6199, predictive_accuracy: 0.6283, prior_entropy: 0.9728, recall: 0.6283, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0269, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.7273, kappa: 0.428, kb_relative_information_score: 184.2708, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7269, predictive_accuracy: 0.73, prior_entropy: 0.9728, recall: 0.73, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9658, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7036, kappa: 0.3882, kb_relative_information_score: 182.0351, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.7075, predictive_accuracy: 0.7017, prior_entropy: 0.9728, recall: 0.7017, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9993, scimark_benchmark: 1321.8132, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6307, kappa: 0.2289, kb_relative_information_score: 90.9495, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6299, predictive_accuracy: 0.6317, prior_entropy: 0.9728, recall: 0.6317, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0241, scimark_benchmark: 1296.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6398, kappa: 0.2533, kb_relative_information_score: 85.839, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4806, number_of_instances: 600, precision: 0.6418, predictive_accuracy: 0.6383, prior_entropy: 0.9728, recall: 0.6383, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.513, root_relative_squared_error: 1.047, scimark_benchmark: 1331.2559, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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