Task
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3496 Supervised Classification SPECTF 535 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8911, kappa: 0.7252, kb_relative_information_score: 170.2574, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8911, predictive_accuracy: 0.8911, prior_entropy: 0.8464, recall: 0.8911, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8272, kappa: 0.5794, kb_relative_information_score: 150.9547, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8376, predictive_accuracy: 0.8224, prior_entropy: 0.8464, recall: 0.8224, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.365, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7454, kappa: 0.4592, kb_relative_information_score: 50.7729, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8316, predictive_accuracy: 0.7307, prior_entropy: 0.8464, recall: 0.7307, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8224, kappa: 0.5516, kb_relative_information_score: 155.1225, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8224, predictive_accuracy: 0.8224, prior_entropy: 0.8464, recall: 0.8224, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7265, kappa: 0.4112, kb_relative_information_score: 59.878, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8027, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7656, kappa: 0.4423, kb_relative_information_score: 84.9055, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7866, predictive_accuracy: 0.7564, prior_entropy: 0.8464, recall: 0.7564, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8989, kappa: 0.7511, kb_relative_information_score: 246.4304, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9042, predictive_accuracy: 0.8968, prior_entropy: 0.8464, recall: 0.8968, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 20.2846, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.874, kappa: 0.7061, kb_relative_information_score: 216.8591, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9031, predictive_accuracy: 0.8682, prior_entropy: 0.8464, recall: 0.8682, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.7643, kappa: 0.5034, kb_relative_information_score: 110.2544, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8575, predictive_accuracy: 0.7507, prior_entropy: 0.8464, recall: 0.7507, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8594, kappa: 0.6654, kb_relative_information_score: 189.2029, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8788, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7175, kappa: 0.4258, kb_relative_information_score: 65.971, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8347, predictive_accuracy: 0.702, prior_entropy: 0.8464, recall: 0.702, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.1585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7779, kappa: 0.4639, kb_relative_information_score: 71.9635, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7925, predictive_accuracy: 0.7708, prior_entropy: 0.8464, recall: 0.7708, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8259, kappa: 0.5714, kb_relative_information_score: 165.0597, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8323, predictive_accuracy: 0.8224, prior_entropy: 0.8464, recall: 0.8224, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8728, kappa: 0.6839, kb_relative_information_score: 171.2604, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8759, predictive_accuracy: 0.8711, prior_entropy: 0.8464, recall: 0.8711, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8579, kappa: 0.6373, kb_relative_information_score: 140.4956, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.857, predictive_accuracy: 0.8596, prior_entropy: 0.8464, recall: 0.8596, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7972, kappa: 0.5093, kb_relative_information_score: 111.524, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8105, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7961, kappa: 0.5159, kb_relative_information_score: 116.2019, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8176, predictive_accuracy: 0.788, prior_entropy: 0.8464, recall: 0.788, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7707, kappa: 0.4521, kb_relative_information_score: 98.7313, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7897, predictive_accuracy: 0.7622, prior_entropy: 0.8464, recall: 0.7622, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8495, kappa: 0.6336, kb_relative_information_score: 192.6249, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8595, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7342, kappa: 0.4506, kb_relative_information_score: 74.8517, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8397, predictive_accuracy: 0.7192, prior_entropy: 0.8464, recall: 0.7192, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8132, kappa: 0.535, kb_relative_information_score: 153.8323, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8164, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.6117, kappa: -0.0057, kb_relative_information_score: 83.8368, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5291, predictive_accuracy: 0.7249, prior_entropy: 0.8464, recall: 0.7249, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7149, kappa: 0.4188, kb_relative_information_score: 45.4075, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8295, predictive_accuracy: 0.6991, prior_entropy: 0.8464, recall: 0.6991, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.539, root_relative_squared_error: 1.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8495, kappa: 0.6336, kb_relative_information_score: 192.6249, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8595, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7994, kappa: 0.4938, kb_relative_information_score: 155.4475, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7994, predictive_accuracy: 0.7994, prior_entropy: 0.8464, recall: 0.7994, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8498, kappa: 0.6536, kb_relative_information_score: 191.1551, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8854, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.6676, kappa: 0.1182, kb_relative_information_score: 97.6081, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7094, predictive_accuracy: 0.7393, prior_entropy: 0.8464, recall: 0.7393, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7317, kappa: 0.4407, kb_relative_information_score: 73.6221, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8307, predictive_accuracy: 0.7163, prior_entropy: 0.8464, recall: 0.7163, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 73.7015, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.1641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 249.1221, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9075, kappa: 0.7726, kb_relative_information_score: 188.5296, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9132, predictive_accuracy: 0.9054, prior_entropy: 0.8464, recall: 0.9054, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8909, kappa: 0.7329, kb_relative_information_score: 240.8296, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8982, predictive_accuracy: 0.8883, prior_entropy: 0.8464, recall: 0.8883, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722, scimark_benchmark: 1697.6783, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1862.8608, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722, scimark_benchmark: 1383.8781, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1387.7293, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8312, kappa: 0.5949, kb_relative_information_score: 169.0417, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8473, predictive_accuracy: 0.8252, prior_entropy: 0.8464, recall: 0.8252, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.8436, scimark_benchmark: 1918.4916, usercpu_time_millis: 2390.625, usercpu_time_millis_training: 2390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 153.8045, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.9538, scimark_benchmark: 1918.4916, usercpu_time_millis: 3156.25, usercpu_time_millis_training: 3156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8747, kappa: 0.6956, kb_relative_information_score: 224.304, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8851, predictive_accuracy: 0.8711, prior_entropy: 0.8464, recall: 0.8711, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8067, scimark_benchmark: 1854.0453, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8747, kappa: 0.6956, kb_relative_information_score: 224.304, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8851, predictive_accuracy: 0.8711, prior_entropy: 0.8464, recall: 0.8711, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8067, scimark_benchmark: 1742.8208, usercpu_time_millis: 250, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7866, kappa: 0.4746, kb_relative_information_score: 138.922, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7936, predictive_accuracy: 0.7822, prior_entropy: 0.8464, recall: 0.7822, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0484, scimark_benchmark: 1377.4309, usercpu_time_millis: 1093.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8618, kappa: 0.669, kb_relative_information_score: 205.6113, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8783, predictive_accuracy: 0.8567, prior_entropy: 0.8464, recall: 0.8567, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8004, scimark_benchmark: 1396.1794, usercpu_time_millis: 4080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8219, kappa: 0.5575, kb_relative_information_score: 147.7249, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8256, predictive_accuracy: 0.8195, prior_entropy: 0.8464, recall: 0.8195, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8924, scimark_benchmark: 1416.417, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 73.7015, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.1641, scimark_benchmark: 1234.4934, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.8127, kappa: 0.532, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8149, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, scimark_benchmark: 1486.8601, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 158.2018, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.999, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8194, kappa: 0.5631, kb_relative_information_score: 155.8052, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8323, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8757, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 154.6776, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8465, 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: 0.8157, f_measure: 0.8486, kappa: 0.6413, kb_relative_information_score: 195.4876, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8702, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8898, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8698, kappa: 0.6759, kb_relative_information_score: 198.2887, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8724, predictive_accuracy: 0.8682, prior_entropy: 0.8464, recall: 0.8682, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6946, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8233, kappa: 0.5659, kb_relative_information_score: 158.3777, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8304, predictive_accuracy: 0.8195, prior_entropy: 0.8464, recall: 0.8195, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8672, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7911, kappa: 0.4819, kb_relative_information_score: 117.0489, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7957, predictive_accuracy: 0.788, prior_entropy: 0.8464, recall: 0.788, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9072, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9203, kappa: 0.8001, kb_relative_information_score: 194.9995, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9211, predictive_accuracy: 0.9198, prior_entropy: 0.8464, recall: 0.9198, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5775, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7265, kappa: 0.4112, kb_relative_information_score: 59.878, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8027, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1595, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.8442, kappa: 0.6224, kb_relative_information_score: 187.6067, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8559, predictive_accuracy: 0.8395, prior_entropy: 0.8464, recall: 0.8395, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8903, 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: 0.8488, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 73.7015, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.1641, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.8127, kappa: 0.532, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8149, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 158.2018, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.999, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8242, kappa: 0.5712, kb_relative_information_score: 161.4441, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.834, predictive_accuracy: 0.8195, prior_entropy: 0.8464, recall: 0.8195, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8537, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 154.6776, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8465, 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: 0.8157, f_measure: 0.8486, kappa: 0.6413, kb_relative_information_score: 195.4876, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8702, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8898, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8698, kappa: 0.6759, kb_relative_information_score: 198.2887, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8724, predictive_accuracy: 0.8682, prior_entropy: 0.8464, recall: 0.8682, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6946, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8419, kappa: 0.6192, kb_relative_information_score: 168.496, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8561, predictive_accuracy: 0.8367, prior_entropy: 0.8464, recall: 0.8367, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8125, 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: 0.8099, f_measure: 0.7911, kappa: 0.4819, kb_relative_information_score: 116.9696, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7957, predictive_accuracy: 0.788, prior_entropy: 0.8464, recall: 0.788, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9088, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9208, kappa: 0.8027, kb_relative_information_score: 196.928, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9228, predictive_accuracy: 0.9198, prior_entropy: 0.8464, recall: 0.9198, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5749, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7265, kappa: 0.4112, kb_relative_information_score: 59.878, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8027, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1595, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8469, kappa: 0.628, kb_relative_information_score: 189.9806, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8577, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8851, 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: 0.9274, f_measure: 0.8698, kappa: 0.6759, kb_relative_information_score: 198.2887, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8724, predictive_accuracy: 0.8682, prior_entropy: 0.8464, recall: 0.8682, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6946, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.8246, kappa: 0.5739, kb_relative_information_score: 159.1383, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8358, predictive_accuracy: 0.8195, prior_entropy: 0.8464, recall: 0.8195, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.855, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8581, kappa: 0.6454, kb_relative_information_score: 184.3763, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.86, predictive_accuracy: 0.8567, prior_entropy: 0.8464, recall: 0.8567, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7414, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8297, kappa: 0.5745, kb_relative_information_score: 158.8745, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8318, predictive_accuracy: 0.8281, prior_entropy: 0.8464, recall: 0.8281, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.8554, 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: 0.8508, f_measure: 0.8097, kappa: 0.5473, kb_relative_information_score: 126.3473, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.83, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8496, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8007, kappa: 0.5004, kb_relative_information_score: 139.7962, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8022, predictive_accuracy: 0.7994, prior_entropy: 0.8464, recall: 0.7994, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.8046, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 158.2018, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.999, 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: 0.7712, f_measure: 0.8127, kappa: 0.532, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8149, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, scimark_benchmark: 937.4805, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 154.6776, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8465, scimark_benchmark: 1047.2049, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8224, kappa: 0.5516, kb_relative_information_score: 155.1225, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8224, predictive_accuracy: 0.8224, prior_entropy: 0.8464, recall: 0.8224, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8843, scimark_benchmark: 913.5974, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8224, kappa: 0.5516, kb_relative_information_score: 155.1225, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8224, predictive_accuracy: 0.8224, prior_entropy: 0.8464, recall: 0.8224, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8843, scimark_benchmark: 953.1685, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7523, kappa: 0.4366, kb_relative_information_score: 58.1465, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7959, predictive_accuracy: 0.7393, prior_entropy: 0.8464, recall: 0.7393, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9205, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7825, kappa: 0.5088, kb_relative_information_score: 117.3082, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8303, predictive_accuracy: 0.7708, prior_entropy: 0.8464, recall: 0.7708, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9419, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.78, kappa: 0.5068, kb_relative_information_score: 110.8464, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8321, predictive_accuracy: 0.7679, prior_entropy: 0.8464, recall: 0.7679, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9651, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7451, kappa: 0.404, kb_relative_information_score: 49.8899, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7745, predictive_accuracy: 0.7335, prior_entropy: 0.8464, recall: 0.7335, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9011, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7652, kappa: 0.4389, kb_relative_information_score: 84.9321, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7843, predictive_accuracy: 0.7564, prior_entropy: 0.8464, recall: 0.7564, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9032, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7693, kappa: 0.457, kb_relative_information_score: 61.2511, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7952, predictive_accuracy: 0.7593, prior_entropy: 0.8464, recall: 0.7593, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.9371, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9481, kappa: 0.8681, kb_relative_information_score: 298.6691, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.948, predictive_accuracy: 0.9484, prior_entropy: 0.8464, recall: 0.9484, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.896, kappa: 0.7434, kb_relative_information_score: 246.3381, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9008, predictive_accuracy: 0.894, prior_entropy: 0.8464, recall: 0.894, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7861, kappa: 0.4824, kb_relative_information_score: 136.1677, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7996, predictive_accuracy: 0.7794, prior_entropy: 0.8464, recall: 0.7794, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8665, kappa: 0.6763, kb_relative_information_score: 204.6187, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8778, predictive_accuracy: 0.8625, prior_entropy: 0.8464, recall: 0.8625, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7813, scimark_benchmark: 1779.392, usercpu_time_millis: 358.8023, usercpu_time_millis_training: 358.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7892, kappa: 0.4799, kb_relative_information_score: 141.6762, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7955, predictive_accuracy: 0.7851, prior_entropy: 0.8464, recall: 0.7851, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0415, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 158.2018, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.999, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8134, kappa: 0.5284, kb_relative_information_score: 131.1629, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8131, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8669, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7824, kappa: 0.4592, kb_relative_information_score: 107.9244, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7865, predictive_accuracy: 0.7794, prior_entropy: 0.8464, recall: 0.7794, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.9251, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7616, kappa: 0.4964, kb_relative_information_score: 100.8731, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8526, predictive_accuracy: 0.7479, prior_entropy: 0.8464, recall: 0.7479, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.483, root_relative_squared_error: 1.0851, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7265, kappa: 0.4112, kb_relative_information_score: 59.878, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8027, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1595, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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