Task
Supervised Classification on analcatdata_cyyoung8092

Supervised Classification on analcatdata_cyyoung8092

Task 4261 Supervised Classification analcatdata_cyyoung8092 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7753, kappa: 0.3787, kb_relative_information_score: 260.0817, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7713, predictive_accuracy: 0.7835, prior_entropy: 0.8153, recall: 0.7835, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9414, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8158, kappa: 0.4965, kb_relative_information_score: 327.2999, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8136, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8557, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7985, kappa: 0.4421, kb_relative_information_score: 366.7332, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7957, predictive_accuracy: 0.8062, prior_entropy: 0.8153, recall: 0.8062, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9431, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7369, kappa: 0.2487, kb_relative_information_score: 112.0805, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7365, predictive_accuracy: 0.766, prior_entropy: 0.8153, recall: 0.766, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9811, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7468, kappa: 0.295, kb_relative_information_score: 217.7559, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7409, predictive_accuracy: 0.7588, prior_entropy: 0.8153, recall: 0.7588, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9875, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7716, kappa: 0.35, kb_relative_information_score: 226.5091, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7755, predictive_accuracy: 0.7938, prior_entropy: 0.8153, recall: 0.7938, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8569, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7753, kappa: 0.3787, kb_relative_information_score: 260.0817, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7713, predictive_accuracy: 0.7835, prior_entropy: 0.8153, recall: 0.7835, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9414, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8158, kappa: 0.4965, kb_relative_information_score: 327.2999, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8136, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8557, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7985, kappa: 0.4421, kb_relative_information_score: 366.7332, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7957, predictive_accuracy: 0.8062, prior_entropy: 0.8153, recall: 0.8062, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9431, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7369, kappa: 0.2487, kb_relative_information_score: 112.0805, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7365, predictive_accuracy: 0.766, prior_entropy: 0.8153, recall: 0.766, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9811, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7716, kappa: 0.35, kb_relative_information_score: 226.5091, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7755, predictive_accuracy: 0.7938, prior_entropy: 0.8153, recall: 0.7938, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8569, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8015, kappa: 0.4386, kb_relative_information_score: 277.7651, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8058, predictive_accuracy: 0.8175, prior_entropy: 0.8153, recall: 0.8175, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.8212, scimark_benchmark: 938.988, usercpu_time_millis: 1350, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7939, kappa: 0.4173, kb_relative_information_score: 281.9745, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7967, predictive_accuracy: 0.8103, prior_entropy: 0.8153, recall: 0.8103, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.8195, scimark_benchmark: 934.695, usercpu_time_millis: 540, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8024, kappa: 0.4395, kb_relative_information_score: 283.7376, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8088, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.8213, scimark_benchmark: 938.8535, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7985, kappa: 0.4327, kb_relative_information_score: 274.743, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7994, predictive_accuracy: 0.8124, prior_entropy: 0.8153, recall: 0.8124, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.8353, scimark_benchmark: 922.613, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7971, kappa: 0.4327, kb_relative_information_score: 268.2282, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7956, predictive_accuracy: 0.8082, prior_entropy: 0.8153, recall: 0.8082, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8495, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8414, kappa: 0.5608, kb_relative_information_score: 465.2613, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8408, predictive_accuracy: 0.8474, prior_entropy: 0.8153, recall: 0.8474, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8119, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8414, kappa: 0.5608, kb_relative_information_score: 465.2613, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8408, predictive_accuracy: 0.8474, prior_entropy: 0.8153, recall: 0.8474, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8119, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8414, kappa: 0.5608, kb_relative_information_score: 465.2613, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8408, predictive_accuracy: 0.8474, prior_entropy: 0.8153, recall: 0.8474, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8119, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8414, kappa: 0.5608, kb_relative_information_score: 465.4499, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8408, predictive_accuracy: 0.8474, prior_entropy: 0.8153, recall: 0.8474, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8112, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8429, kappa: 0.5641, kb_relative_information_score: 462.8493, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8429, predictive_accuracy: 0.8495, prior_entropy: 0.8153, recall: 0.8495, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.8057, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4366, f_measure: 0.6463, kb_relative_information_score: -8.5121, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.5664, predictive_accuracy: 0.7526, prior_entropy: 0.8153, recall: 0.7526, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0013, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8121, kappa: 0.4774, kb_relative_information_score: 451.8592, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8106, predictive_accuracy: 0.8206, prior_entropy: 0.8153, recall: 0.8206, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9364, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8169, kappa: 0.4901, kb_relative_information_score: 460.8801, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8161, predictive_accuracy: 0.8258, prior_entropy: 0.8153, recall: 0.8258, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9176, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8148, kappa: 0.4841, kb_relative_information_score: 446.0596, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8138, predictive_accuracy: 0.8237, prior_entropy: 0.8153, recall: 0.8237, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9286, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8065, kappa: 0.4616, kb_relative_information_score: 425.0831, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8047, predictive_accuracy: 0.8155, prior_entropy: 0.8153, recall: 0.8155, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9438, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7836, kappa: 0.3943, kb_relative_information_score: 378.6111, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7811, predictive_accuracy: 0.7959, prior_entropy: 0.8153, recall: 0.7959, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9787, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6463, kb_relative_information_score: 252.3779, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.5664, predictive_accuracy: 0.7526, prior_entropy: 0.8153, recall: 0.7526, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1526, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6463, kb_relative_information_score: 252.3779, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.5664, predictive_accuracy: 0.7526, prior_entropy: 0.8153, recall: 0.7526, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1526, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.8009, kappa: 0.434, kb_relative_information_score: 290.8073, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8094, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9191, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7741, kappa: 0.3566, kb_relative_information_score: -279.0864, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7797, predictive_accuracy: 0.7969, prior_entropy: 0.8153, recall: 0.7969, relative_absolute_error: 1.1295, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.0066, scimark_benchmark: 906.0884, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7818, kappa: 0.3734, kb_relative_information_score: 254.3627, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8059, predictive_accuracy: 0.8113, prior_entropy: 0.8153, recall: 0.8113, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.8426, scimark_benchmark: 943.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7753, kappa: 0.3787, kb_relative_information_score: 260.0817, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7713, predictive_accuracy: 0.7835, prior_entropy: 0.8153, recall: 0.7835, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9414, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.8171, kappa: 0.5001, kb_relative_information_score: 328.0624, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8149, predictive_accuracy: 0.8206, prior_entropy: 0.8153, recall: 0.8206, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.369, root_relative_squared_error: 0.855, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7985, kappa: 0.4421, kb_relative_information_score: 366.7332, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7957, predictive_accuracy: 0.8062, prior_entropy: 0.8153, recall: 0.8062, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9431, scimark_benchmark: 845.538, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 945.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 939.3886, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7369, kappa: 0.2487, kb_relative_information_score: 112.0805, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7365, predictive_accuracy: 0.766, prior_entropy: 0.8153, recall: 0.766, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9811, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7468, kappa: 0.295, kb_relative_information_score: 217.7559, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7409, predictive_accuracy: 0.7588, prior_entropy: 0.8153, recall: 0.7588, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9875, scimark_benchmark: 915.9028, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7836, kappa: 0.4068, kb_relative_information_score: 252.0625, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7803, predictive_accuracy: 0.7887, prior_entropy: 0.8153, recall: 0.7887, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9449, scimark_benchmark: 942.3809, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7716, kappa: 0.35, kb_relative_information_score: 226.5091, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7755, predictive_accuracy: 0.7938, prior_entropy: 0.8153, recall: 0.7938, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8569, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7753, kappa: 0.3787, kb_relative_information_score: 260.0817, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7713, predictive_accuracy: 0.7835, prior_entropy: 0.8153, recall: 0.7835, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9414, scimark_benchmark: 915.9028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7719, kappa: 0.3521, kb_relative_information_score: 164.6311, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7742, predictive_accuracy: 0.7928, prior_entropy: 0.8153, recall: 0.7928, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8883, scimark_benchmark: 926.8585, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8158, kappa: 0.4965, kb_relative_information_score: 327.2999, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8136, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8557, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7369, kappa: 0.2487, kb_relative_information_score: 112.0805, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7365, predictive_accuracy: 0.766, prior_entropy: 0.8153, recall: 0.766, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9811, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7716, kappa: 0.35, kb_relative_information_score: 226.5091, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7755, predictive_accuracy: 0.7938, prior_entropy: 0.8153, recall: 0.7938, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8569, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7753, kappa: 0.3787, kb_relative_information_score: 260.0817, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7713, predictive_accuracy: 0.7835, prior_entropy: 0.8153, recall: 0.7835, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9414, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7468, kappa: 0.295, kb_relative_information_score: 217.7559, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7409, predictive_accuracy: 0.7588, prior_entropy: 0.8153, recall: 0.7588, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9875, scimark_benchmark: 1319.952, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7836, kappa: 0.4068, kb_relative_information_score: 252.0625, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7803, predictive_accuracy: 0.7887, prior_entropy: 0.8153, recall: 0.7887, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9449, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7716, kappa: 0.35, kb_relative_information_score: 226.5091, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7755, predictive_accuracy: 0.7938, prior_entropy: 0.8153, recall: 0.7938, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8569, scimark_benchmark: 1323.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8158, kappa: 0.4965, kb_relative_information_score: 327.2999, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8136, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8557, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.8171, kappa: 0.5001, kb_relative_information_score: 434.8714, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8149, predictive_accuracy: 0.8206, prior_entropy: 0.8153, recall: 0.8206, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9223, scimark_benchmark: 1256.2802, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7985, kappa: 0.4421, kb_relative_information_score: 367.3484, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7957, predictive_accuracy: 0.8062, prior_entropy: 0.8153, recall: 0.8062, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.9425, scimark_benchmark: 1344.0499, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7415, kappa: 0.368, kb_relative_information_score: 164.2821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7758, predictive_accuracy: 0.7268, prior_entropy: 0.8153, recall: 0.7268, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0501, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7369, kappa: 0.2487, kb_relative_information_score: 112.0805, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7365, predictive_accuracy: 0.766, prior_entropy: 0.8153, recall: 0.766, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9811, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7506, kappa: 0.3464, kb_relative_information_score: 145.2762, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7576, predictive_accuracy: 0.7454, prior_entropy: 0.8153, recall: 0.7454, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.054, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8158, kappa: 0.4965, kb_relative_information_score: 327.2999, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.8136, predictive_accuracy: 0.8196, prior_entropy: 0.8153, recall: 0.8196, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8557, scimark_benchmark: 1335.5309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1286.0816, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.6771, kappa: 0.0788, kb_relative_information_score: 284.8332, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.375, number_of_instances: 970, precision: 0.7779, predictive_accuracy: 0.7639, prior_entropy: 0.8153, recall: 0.7639, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4315, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.1259, scimark_benchmark: 1371.4836, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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