Task
Supervised Classification on servo

Supervised Classification on servo

Task 3613 Supervised Classification servo 851 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 130.8989, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7793, recall: 0.9341, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7793, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9401, kappa: 0.8297, kb_relative_information_score: 121.7313, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.7793, recall: 0.9401, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9644, kappa: 0.8997, kb_relative_information_score: 146.5994, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9651, predictive_accuracy: 0.9641, prior_entropy: 0.7793, recall: 0.9641, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.935, kappa: 0.8177, kb_relative_information_score: 117.682, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9366, predictive_accuracy: 0.9341, prior_entropy: 0.7793, recall: 0.9341, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9169, kappa: 0.7659, kb_relative_information_score: 115.5818, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 0.7793, recall: 0.9162, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9521, kappa: 0.8637, kb_relative_information_score: 140.2397, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.7794, recall: 0.9521, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9304, kappa: 0.8097, kb_relative_information_score: 115.18, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9378, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.5226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 112.9474, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9253, kappa: 0.7991, kb_relative_information_score: 111.6076, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9377, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.247, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 127.3075, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9459, kappa: 0.8453, kb_relative_information_score: 137.4281, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9464, kappa: 0.8481, kb_relative_information_score: 136.0647, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9467, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 89.2294, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.6056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9476, kappa: 0.856, kb_relative_information_score: 94.4586, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9532, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 106.822, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 115.5077, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 104.0987, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9633, kappa: 0.8939, kb_relative_information_score: 137.2205, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9643, predictive_accuracy: 0.9641, prior_entropy: 0.7794, recall: 0.9641, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9529, kappa: 0.8686, kb_relative_information_score: 124.9519, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9551, predictive_accuracy: 0.9521, prior_entropy: 0.7794, recall: 0.9521, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8912, kappa: 0.6876, kb_relative_information_score: 83.1646, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.8905, predictive_accuracy: 0.8922, prior_entropy: 0.7794, recall: 0.8922, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.6733, kb_relative_information_score: -0.6035, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.5967, predictive_accuracy: 0.7725, prior_entropy: 0.7794, recall: 0.7725, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 107.2065, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.22, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 111.3196, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8124, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9395, kappa: 0.8264, kb_relative_information_score: 133.7038, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9393, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 143.3993, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9468, kappa: 0.8508, kb_relative_information_score: 125.628, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9483, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 112.9474, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9188, kappa: 0.778, kb_relative_information_score: 120.9987, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9264, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9188, kappa: 0.778, kb_relative_information_score: 120.9987, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9264, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9188, kappa: 0.778, kb_relative_information_score: 120.9987, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9264, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 133.799, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 113.784, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9225, kappa: 0.7806, kb_relative_information_score: 119.5276, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.923, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9098, kappa: 0.7421, kb_relative_information_score: 117.7986, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9094, predictive_accuracy: 0.9102, prior_entropy: 0.7794, recall: 0.9102, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1601.038, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1384.0821, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9274, kappa: 0.7917, kb_relative_information_score: 126.9838, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9271, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5989, scimark_benchmark: 1908.2191, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9395, kappa: 0.8264, kb_relative_information_score: 132.8779, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9393, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5454, scimark_benchmark: 1908.2191, usercpu_time_millis: 703.125, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6733, kb_relative_information_score: 44.1965, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.5967, predictive_accuracy: 0.7725, prior_entropy: 0.7794, recall: 0.7725, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.477, root_relative_squared_error: 1.1378, scimark_benchmark: 1827.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 143.3993, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4883, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9338, kappa: 0.8109, kb_relative_information_score: 131.4656, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.535, scimark_benchmark: 1427.7097, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 131.5661, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5099, scimark_benchmark: 1871.4229, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634, scimark_benchmark: 1519.7361, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 127.3846, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5693, scimark_benchmark: 1273.6285, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 143.3993, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4883, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9459, kappa: 0.8453, kb_relative_information_score: 136.9991, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5537, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 130.0676, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.6111, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 108.3922, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.5221, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 139.6745, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4595, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9225, kappa: 0.7806, kb_relative_information_score: 120.2462, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.923, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5386, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9468, kappa: 0.8508, kb_relative_information_score: 124.962, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9483, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4513, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 143.3993, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4883, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9459, kappa: 0.8453, kb_relative_information_score: 136.9991, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5537, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 127.3846, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5693, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 130.0676, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.6111, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 108.3922, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.5221, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 139.6745, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4595, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9225, kappa: 0.7806, kb_relative_information_score: 120.2462, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.923, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5386, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9468, kappa: 0.8508, kb_relative_information_score: 124.962, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9483, predictive_accuracy: 0.9461, prior_entropy: 0.7794, recall: 0.9461, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4513, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 114.697, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5634, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 130.0676, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.6111, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 139.6745, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4595, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9332, kappa: 0.8073, kb_relative_information_score: 127.8231, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.933, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.5688, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.7396, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.0229, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5654, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8589, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.565, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 127.3988, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9583, kappa: 0.8819, kb_relative_information_score: 143.3993, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9586, predictive_accuracy: 0.9581, prior_entropy: 0.7794, recall: 0.9581, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4883, scimark_benchmark: 1373.04, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9253, kappa: 0.7991, kb_relative_information_score: 111.6076, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9377, predictive_accuracy: 0.9222, prior_entropy: 0.7794, recall: 0.9222, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.247, root_relative_squared_error: 0.5891, scimark_benchmark: 1014.8856, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8124, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5649, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8124, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5649, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 108.3922, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.5221, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9188, kappa: 0.778, kb_relative_information_score: 87.9484, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9264, predictive_accuracy: 0.9162, prior_entropy: 0.7794, recall: 0.9162, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.6001, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 113.8124, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5649, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9416, kappa: 0.8386, kb_relative_information_score: 107.2065, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9461, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.22, root_relative_squared_error: 0.5248, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9344, kappa: 0.8144, kb_relative_information_score: 130.5989, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 0.7794, recall: 0.9341, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6121, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.116,

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