Task
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 42.6503, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7359, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.9232, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8479, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 51.9449, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7703, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -0.1613, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8297, kappa: 0.6522, kb_relative_information_score: 65.0017, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8328, usercpu_time_millis: 381.276, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 373.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8297, kappa: 0.6522, kb_relative_information_score: 65.0017, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8328, usercpu_time_millis: 120.801, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 120.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, usercpu_time_millis: 2.857, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6914, kappa: 0.3765, kb_relative_information_score: 36.2253, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6963, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1246, usercpu_time_millis: 0.398, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7309, kappa: 0.4539, kb_relative_information_score: 44.4472, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7331, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0496, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 52.669, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9687, usercpu_time_millis: 0.411, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8106, kappa: 0.6157, kb_relative_information_score: 60.8908, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8127, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8804, usercpu_time_millis: 7.2, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 6.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 48.5581, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0099, usercpu_time_millis: 4.274, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 4.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7273, kappa: 0.4412, kb_relative_information_score: 44.4472, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7284, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0496, usercpu_time_millis: 0.275, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8505, kappa: 0.6966, kb_relative_information_score: 69.1127, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8525, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7823, usercpu_time_millis: 5.744, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 4.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8606, kappa: 0.7176, kb_relative_information_score: 71.1681, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8639, predictive_accuracy: 0.86, prior_entropy: 0.9864, recall: 0.86, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7558, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 69.1127, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7823, usercpu_time_millis: 1.638, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5965, kappa: 0.2215, kb_relative_information_score: 28.0035, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6958, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.195, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7104, kappa: 0.4101, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7109, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0877, usercpu_time_millis: 0.133, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.711, kappa: 0.4176, kb_relative_information_score: 44.4472, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7558, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0496, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7, kappa: 0.388, kb_relative_information_score: 38.2808, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9864, recall: 0.7, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1063, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0877, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, usercpu_time_millis: 1.844, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 56.7799, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7907, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9256, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6914, kappa: 0.3765, kb_relative_information_score: 36.2253, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6963, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1246, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.6446, kappa: 0.2714, kb_relative_information_score: 28.0035, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6457, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.195, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7, kappa: 0.388, kb_relative_information_score: 38.2808, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9864, recall: 0.7, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1063, usercpu_time_millis: 4.196, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 3.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.76, kappa: 0.5104, kb_relative_information_score: 50.6135, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9895, usercpu_time_millis: 0.372, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6815, kappa: 0.3582, kb_relative_information_score: 34.1699, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.688, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1426, usercpu_time_millis: 0.732, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0877, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7207, kappa: 0.432, kb_relative_information_score: 42.3917, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7219, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0688, usercpu_time_millis: 0.062, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6914, kappa: 0.3765, kb_relative_information_score: 36.2253, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6963, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1246, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.105,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.5044, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3398, usercpu_time_millis: 2.242, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 1.407,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6914, kappa: 0.3765, kb_relative_information_score: 36.2253, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6963, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1246, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8187, kappa: 0.6286, kb_relative_information_score: 62.9463, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.857, usercpu_time_millis: 0.683, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.604,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.7688, kappa: 0.5267, kb_relative_information_score: 52.669, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.769, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9687, usercpu_time_millis: 1.67, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.407,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 31.5825, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.92, scimark_benchmark: 1051.249, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 42.6503, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7359, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8502, kappa: 0.6949, kb_relative_information_score: 41.8453, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7475, scimark_benchmark: 926.5462, usercpu_time_millis: 1330, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 40.3873, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7664, scimark_benchmark: 938.988, usercpu_time_millis: 640, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8404, kappa: 0.6755, kb_relative_information_score: 41.1598, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8415, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7588, scimark_benchmark: 906.8974, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8595, kappa: 0.7128, kb_relative_information_score: 43.665, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9864, recall: 0.86, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7352, scimark_benchmark: 869.7667, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8097, kappa: 0.6113, kb_relative_information_score: 43.1853, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7783, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 44.9458, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9563, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 44.9458, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9563, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 45.9268, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9402, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 45.9268, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9402, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 44.3448, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9465, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7503, kappa: 0.4915, kb_relative_information_score: 42.4211, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.954, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -0.1613, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7677, kappa: 0.524, kb_relative_information_score: 54.5273, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7694, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9184, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7773, kappa: 0.5434, kb_relative_information_score: 55.4775, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9076, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7773, kappa: 0.5434, kb_relative_information_score: 54.8837, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9233, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 55.3189, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9147, scimark_benchmark: 935.6052, 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

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From your own software

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

OpenML APIs