OpenML
Supervised Classification on fri_c4_1000_50

Supervised Classification on fri_c4_1000_50

Task 3662 Supervised Classification fri_c4_1000_50 408 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.893, kappa: 0.7829, kb_relative_information_score: 720.1111, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.893, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5512, scimark_benchmark: 1838.8826, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 1838.8826, usercpu_time_millis: 436.8028, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 374.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8749, kappa: 0.746, kb_relative_information_score: 743.4924, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 0.9896, recall: 0.875, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7115, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5303, kappa: 0.0477, kb_relative_information_score: 40.1119, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5307, predictive_accuracy: 0.53, prior_entropy: 0.9896, recall: 0.53, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6848, root_relative_squared_error: 1.3796, scimark_benchmark: 1838.8826, usercpu_time_millis: 280.8018, usercpu_time_millis_testing: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.6646, kappa: 0.3171, kb_relative_information_score: 171.9452, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6647, predictive_accuracy: 0.667, prior_entropy: 0.9896, recall: 0.667, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9451, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 198.8723, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9474, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6482, kappa: 0.2868, kb_relative_information_score: 281.1672, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9896, recall: 0.648, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1952, usercpu_time_millis: 4.044, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 3.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8321, kappa: 0.6594, kb_relative_information_score: 656.8987, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 0.9896, recall: 0.832, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8257, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.6545, kappa: 0.2964, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, usercpu_time_millis: 5.881, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 5.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6411, kappa: 0.2703, kb_relative_information_score: 268.9151, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6406, predictive_accuracy: 0.642, prior_entropy: 0.9896, recall: 0.642, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2054, usercpu_time_millis: 4.531, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 4.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6395, kappa: 0.266, kb_relative_information_score: 268.9151, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6393, predictive_accuracy: 0.642, prior_entropy: 0.9896, recall: 0.642, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2054, usercpu_time_millis: 1.813, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6637, kappa: 0.3152, kb_relative_information_score: 317.9235, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6637, predictive_accuracy: 0.666, prior_entropy: 0.9896, recall: 0.666, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5779, root_relative_squared_error: 1.1643, usercpu_time_millis: 0.985, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 705.9072, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6542, kappa: 0.2961, kb_relative_information_score: 297.5034, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6538, predictive_accuracy: 0.656, prior_entropy: 0.9896, recall: 0.656, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1816, usercpu_time_millis: 63.064, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 62.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7571, kappa: 0.506, kb_relative_information_score: 505.7893, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.758, prior_entropy: 0.9896, recall: 0.758, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.991, usercpu_time_millis: 31.381, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 30.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8763, kappa: 0.7483, kb_relative_information_score: 748.7896, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8778, predictive_accuracy: 0.877, prior_entropy: 0.9896, recall: 0.877, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7065, usercpu_time_millis: 93.342, usercpu_time_millis_testing: 6.846, usercpu_time_millis_training: 86.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8783, kappa: 0.7522, kb_relative_information_score: 752.8737, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.88, predictive_accuracy: 0.879, prior_entropy: 0.9896, recall: 0.879, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7008, usercpu_time_millis: 14.938, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 14.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8763, kappa: 0.7481, kb_relative_information_score: 748.7896, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.878, predictive_accuracy: 0.877, prior_entropy: 0.9896, recall: 0.877, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7065, usercpu_time_millis: 18.263, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 18.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6104, kappa: 0.2068, kb_relative_information_score: 209.6965, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6098, predictive_accuracy: 0.613, prior_entropy: 0.9896, recall: 0.613, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.2532, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6462, kappa: 0.2807, kb_relative_information_score: 279.1252, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6457, predictive_accuracy: 0.647, prior_entropy: 0.9896, recall: 0.647, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1969, usercpu_time_millis: 1.327, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6343, kappa: 0.2553, kb_relative_information_score: 260.747, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6347, predictive_accuracy: 0.638, prior_entropy: 0.9896, recall: 0.638, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2121, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6442, kappa: 0.2766, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003, usercpu_time_millis: 1.88, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8362, kappa: 0.6683, kb_relative_information_score: 665.0668, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 0.9896, recall: 0.836, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8158, usercpu_time_millis: 3.362, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 2.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7959, kappa: 0.5849, kb_relative_information_score: 591.5541, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.8, prior_entropy: 0.9896, recall: 0.8, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, usercpu_time_millis: 90.137, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 89.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.4902, kappa: 0.0595, kb_relative_information_score: 132.0998, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5753, predictive_accuracy: 0.575, prior_entropy: 0.9896, recall: 0.575, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3133, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 2.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7685, kappa: 0.5295, kb_relative_information_score: 528.2515, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7684, predictive_accuracy: 0.769, prior_entropy: 0.9896, recall: 0.769, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9682, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 1.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.6182, kappa: 0.2301, kb_relative_information_score: 217.8646, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6213, predictive_accuracy: 0.617, prior_entropy: 0.9896, recall: 0.617, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6189, root_relative_squared_error: 1.2467, usercpu_time_millis: 49.641, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 49.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5856, kappa: 0.17, kb_relative_information_score: 201.5284, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6055, predictive_accuracy: 0.609, prior_entropy: 0.9896, recall: 0.609, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6253, root_relative_squared_error: 1.2597, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6393, kappa: 0.2687, kb_relative_information_score: 262.789, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6396, predictive_accuracy: 0.639, prior_entropy: 0.9896, recall: 0.639, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6008, root_relative_squared_error: 1.2104, usercpu_time_millis: 2.041, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.754, kappa: 0.5008, kb_relative_information_score: 497.6212, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.754, predictive_accuracy: 0.754, prior_entropy: 0.9896, recall: 0.754, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9992, usercpu_time_millis: 49.191, usercpu_time_millis_testing: 4.381, usercpu_time_millis_training: 44.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.688, kappa: 0.3648, kb_relative_information_score: 366.932, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6882, predictive_accuracy: 0.69, prior_entropy: 0.9896, recall: 0.69, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1217, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6442, kappa: 0.2766, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003, usercpu_time_millis: 1.024, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.6458, kappa: 0.2797, kb_relative_information_score: 279.1252, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6453, predictive_accuracy: 0.647, prior_entropy: 0.9896, recall: 0.647, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1969, usercpu_time_millis: 5.568, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 5.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.645, kappa: 0.2798, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6451, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003, usercpu_time_millis: 6.009, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 5.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6442, kappa: 0.2766, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6438, kappa: 0.2756, kb_relative_information_score: 275.0411, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6433, predictive_accuracy: 0.645, prior_entropy: 0.9896, recall: 0.645, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2003, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.135,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.909, kappa: 0.8152, kb_relative_information_score: 814.1342, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9089, predictive_accuracy: 0.909, prior_entropy: 0.9896, recall: 0.909, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6077, usercpu_time_millis: 309.784, usercpu_time_millis_testing: 9.061, usercpu_time_millis_training: 300.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.848, kappa: 0.6917, kb_relative_information_score: 689.5711, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9896, recall: 0.848, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7854, usercpu_time_millis: 4.274, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 3.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 658.9408, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8233, usercpu_time_millis: 2.727, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 1.862,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6429, kappa: 0.2737, kb_relative_information_score: 272.9991, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6424, predictive_accuracy: 0.644, prior_entropy: 0.9896, recall: 0.644, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.202, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.834, kappa: 0.6619, kb_relative_information_score: 665.0668, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8392, predictive_accuracy: 0.836, prior_entropy: 0.9896, recall: 0.836, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8158, usercpu_time_millis: 5.176, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 4.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7827, kappa: 0.5576, kb_relative_information_score: 562.9659, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7889, predictive_accuracy: 0.786, prior_entropy: 0.9896, recall: 0.786, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9319, usercpu_time_millis: 54.489, usercpu_time_millis_testing: 7.155, usercpu_time_millis_training: 47.334,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7706, kappa: 0.5431, kb_relative_information_score: 530.2936, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7833, predictive_accuracy: 0.77, prior_entropy: 0.9896, recall: 0.77, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9661, usercpu_time_millis: 1.948, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.867, kappa: 0.73, kb_relative_information_score: 728.3694, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.867, predictive_accuracy: 0.867, prior_entropy: 0.9896, recall: 0.867, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7347, usercpu_time_millis: 5.946, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 5.687,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9109, kappa: 0.8192, kb_relative_information_score: 818.2183, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9109, predictive_accuracy: 0.911, prior_entropy: 0.9896, recall: 0.911, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.601, usercpu_time_millis: 54.936, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 51.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6258, kappa: 0.2429, kb_relative_information_score: 234.2008, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6271, predictive_accuracy: 0.625, prior_entropy: 0.9896, recall: 0.625, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2337, usercpu_time_millis: 4.257, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 4.192,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 573.5487, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9896, recall: 0.842, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.679, scimark_benchmark: 851.2074, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 573.5487, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9896, recall: 0.842, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.679, scimark_benchmark: 944.0133, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 932.438, usercpu_time_millis: 1510, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.878, kappa: 0.7523, kb_relative_information_score: 629.6363, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9896, recall: 0.878, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5993, scimark_benchmark: 903.2737, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6251, kappa: 0.2377, kb_relative_information_score: 195.7508, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6245, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9915, scimark_benchmark: 1051.249, usercpu_time_millis: 10620, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 10330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.837, kappa: 0.6693, kb_relative_information_score: 613.8489, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7214, scimark_benchmark: 934.695, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 1051.249, usercpu_time_millis: 1250, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8434, kappa: 0.6816, kb_relative_information_score: 368.4797, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9896, recall: 0.844, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7451, scimark_benchmark: 926.5462, usercpu_time_millis: 32550, usercpu_time_millis_testing: 11770, usercpu_time_millis_training: 20780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8525, kappa: 0.7, kb_relative_information_score: 386.768, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8529, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7306, scimark_benchmark: 938.988, usercpu_time_millis: 15630, usercpu_time_millis_testing: 5800, usercpu_time_millis_training: 9830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8415, kappa: 0.6777, kb_relative_information_score: 370.4507, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9896, recall: 0.842, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7499, scimark_benchmark: 906.8974, usercpu_time_millis: 8330, usercpu_time_millis_testing: 2990, usercpu_time_millis_training: 5340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 379.5309, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7452, scimark_benchmark: 924.2305, usercpu_time_millis: 3160, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8305, kappa: 0.6553, kb_relative_information_score: 397.3309, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8307, predictive_accuracy: 0.831, prior_entropy: 0.9896, recall: 0.831, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7424, scimark_benchmark: 889.4922, usercpu_time_millis: 1860, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8716, kappa: 0.7389, kb_relative_information_score: 676.4846, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9896, recall: 0.872, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6154, scimark_benchmark: 926.5859, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8696, kappa: 0.7348, kb_relative_information_score: 675.022, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9896, recall: 0.87, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6161, scimark_benchmark: 926.5859, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8736, kappa: 0.7431, kb_relative_information_score: 668.7638, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9896, recall: 0.874, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6043, scimark_benchmark: 936.7184, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8718, kappa: 0.7395, kb_relative_information_score: 638.9325, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9896, recall: 0.872, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6144, scimark_benchmark: 926.5859, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8577, kappa: 0.7107, kb_relative_information_score: 548.8485, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9896, recall: 0.858, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6623, scimark_benchmark: 929.0296, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8716, kappa: 0.7389, kb_relative_information_score: 734.4997, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9896, recall: 0.872, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6418, scimark_benchmark: 936.1714, usercpu_time_millis: 3090, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8647, kappa: 0.7251, kb_relative_information_score: 703.1602, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8648, predictive_accuracy: 0.865, prior_entropy: 0.9896, recall: 0.865, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6701, scimark_benchmark: 935.6052, usercpu_time_millis: 1580, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8244, kappa: 0.6429, kb_relative_information_score: 626.9712, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8247, predictive_accuracy: 0.825, prior_entropy: 0.9896, recall: 0.825, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7397, scimark_benchmark: 940.0055, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7696, kappa: 0.5317, kb_relative_information_score: 497.3656, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7694, predictive_accuracy: 0.77, prior_entropy: 0.9896, recall: 0.77, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8373, scimark_benchmark: 935.6052, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7196, kappa: 0.433, kb_relative_information_score: 428.3149, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.721, predictive_accuracy: 0.719, prior_entropy: 0.9896, recall: 0.719, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9724, scimark_benchmark: 935.6052, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 101.4695, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 938.3115,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs