Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 272 Supervised Classification haberman 1379 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

1379 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, build_cpu_time: 1.34, build_memory: 455050408, f_measure: 0.66, kappa: 0.1375, kb_relative_information_score: 7.0966, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.836, recall: 0.66, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.253, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.634, build_memory: 396910296, f_measure: 0.676, kappa: 0.1688, kb_relative_information_score: 8.156, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6725, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.541, root_relative_squared_error: 1.2185, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, build_cpu_time: 0.149, build_memory: 375793464, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: 2.795, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.511, root_relative_squared_error: 1.151, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, build_cpu_time: 0.058, build_memory: 1311630256, f_measure: 0.648, kappa: 0.0548, kb_relative_information_score: -0.4367, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6408, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.0011, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, build_cpu_time: 0.085, build_memory: 2559294544, f_measure: 0.648, kappa: 0.0548, kb_relative_information_score: -0.4367, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6408, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.0011, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, build_cpu_time: 10.151, build_memory: 365873824, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -4.7455, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0454, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, build_cpu_time: 0.93, build_memory: 1025001320, f_measure: 0.6893, kappa: 0.1651, kb_relative_information_score: 6.1518, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7035, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9724, scimark_benchmark: 943.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, build_cpu_time: 0.291, build_memory: 1467793024, f_measure: 0.6821, kappa: 0.1456, kb_relative_information_score: 5.3017, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6866, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9787, scimark_benchmark: 941.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, build_cpu_time: 0.213, build_memory: 954221656, f_measure: 0.652, kappa: 0.1224, kb_relative_information_score: -3.3253, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6541, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0684, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, build_cpu_time: 1.938, build_memory: 2621575024, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.793, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0482, scimark_benchmark: 916.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, build_cpu_time: 0.012, build_memory: 54501016, f_measure: 0.6545, kappa: 0.0735, kb_relative_information_score: 21.9033, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0199, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, build_cpu_time: 0.009, build_memory: 478905680, f_measure: 0.6545, kappa: 0.0735, kb_relative_information_score: 21.9033, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0199, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, build_cpu_time: 0.012, build_memory: 238773688, f_measure: 0.6545, kappa: 0.0735, kb_relative_information_score: 21.9033, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0199, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, build_cpu_time: 0.963, build_memory: 1106106968, f_measure: 0.68, kappa: 0.1882, kb_relative_information_score: -2.1615, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4679, root_relative_squared_error: 1.054, scimark_benchmark: 871.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, build_cpu_time: 0.002, build_memory: 875768024, f_measure: 0.6654, kappa: 0.1008, kb_relative_information_score: 20.3327, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0215, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, build_cpu_time: 0.003, build_memory: 892717424, f_measure: 0.6654, kappa: 0.1008, kb_relative_information_score: 20.3327, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0215, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, build_cpu_time: 0.001, build_memory: 721304680, f_measure: 0.6654, kappa: 0.1008, kb_relative_information_score: 20.3327, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0215, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, build_cpu_time: 0.001, build_memory: 1131610632, f_measure: 0.6654, kappa: 0.1008, kb_relative_information_score: 20.3327, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0215, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, build_cpu_time: 0.72, build_memory: 1946008328, f_measure: 0.6637, kappa: 0.1572, kb_relative_information_score: -2.0182, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6679, predictive_accuracy: 0.66, prior_entropy: 0.836, recall: 0.66, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.0604, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, build_cpu_time: 0.651, build_memory: 1373344448, f_measure: 0.6586, kappa: 0.111, kb_relative_information_score: 5.5423, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6504, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.2805, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, build_cpu_time: 0.013, build_memory: 1420456416, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: 6.5101, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7242, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9619, scimark_benchmark: 949.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, build_cpu_time: 35.291, build_memory: 915356368, f_measure: 0.6455, kappa: 0.0726, kb_relative_information_score: 1.6188, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6352, predictive_accuracy: 0.66, prior_entropy: 0.836, recall: 0.66, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0479, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, build_cpu_time: 71.221, build_memory: 1770072840, f_measure: 0.653, kappa: 0.0884, kb_relative_information_score: 1.2784, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.642, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4634, root_relative_squared_error: 1.0438, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.012, build_memory: 77889680, f_measure: 0.6749, kappa: 0.1266, kb_relative_information_score: 6.0405, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6723, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9715, scimark_benchmark: 936.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.012, build_memory: 109134872, f_measure: 0.6749, kappa: 0.1266, kb_relative_information_score: 6.0405, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6723, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9715, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, build_cpu_time: 0.022, build_memory: 1640424552, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: 6.5019, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7242, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9622, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, build_cpu_time: 0.002, build_memory: 160954600, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 15.6983, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9604, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, build_cpu_time: 0.002, build_memory: 130803792, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 15.6983, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9604, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, build_cpu_time: 0.02, build_memory: 386954472, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 15.0846, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9484, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, build_cpu_time: 0.052, build_memory: 107004056, f_measure: 0.6482, kappa: 0.0638, kb_relative_information_score: 3.5617, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6749, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9626, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, build_cpu_time: 0.244, build_memory: 1050782256, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 0.3991, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9811, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, build_cpu_time: 0.004, build_memory: 261290664, f_measure: 0.6545, kappa: 0.0735, kb_relative_information_score: 19.9569, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0311, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, build_cpu_time: 0.004, build_memory: 379972040, f_measure: 0.6545, kappa: 0.0735, kb_relative_information_score: 19.9569, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0311, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, build_cpu_time: 0.248, build_memory: 478766600, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 0.3991, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9811, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, build_cpu_time: 0.275, build_memory: 284485320, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 0.3991, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9811, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, build_cpu_time: 0.003, build_memory: 203454416, f_measure: 0.648, kappa: 0.0548, kb_relative_information_score: 19.2018, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6408, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0333, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.058, build_memory: 892059248, f_measure: 0.6612, kappa: 0.0978, kb_relative_information_score: 9.7276, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.2525, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, build_cpu_time: 0.01, build_memory: 35514224, f_measure: 0.618, kappa: -0.0073, kb_relative_information_score: -0.6022, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6028, predictive_accuracy: 0.64, prior_entropy: 0.836, recall: 0.64, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0461, scimark_benchmark: 931.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, build_cpu_time: 4.427, build_memory: 471894992, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: 0.031, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.0404, scimark_benchmark: 883.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, build_cpu_time: 0.037, build_memory: 1804083168, f_measure: 0.6464, kappa: 0.056, kb_relative_information_score: -3.1571, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6311, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0177, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6161, kb_relative_information_score: 1.1722, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9819, scimark_benchmark: 1326.6565, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6906, kappa: 0.174, kb_relative_information_score: 9.6469, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6842, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.99, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6161, kb_relative_information_score: 23.5247, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0683, scimark_benchmark: 1283.2145, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6161, kb_relative_information_score: 2.04, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9799, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -10.5377, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0247, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 15.8375, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9567, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.6172, kappa: 0.0032, kb_relative_information_score: -9.8433, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6071, predictive_accuracy: 0.63, prior_entropy: 0.836, recall: 0.63, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0846, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6161, kb_relative_information_score: 6.7127, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9798, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 15.5769, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.96, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: -3.5661, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7242, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9873, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.6544, kappa: 0.0839, kb_relative_information_score: 27.3918, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7219, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1485, scimark_benchmark: 1372.675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6161, kb_relative_information_score: 3.3588, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.988, scimark_benchmark: 1353.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.0577, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1, scimark_benchmark: 1334.8272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.5782, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4441, root_relative_squared_error: 1.0002, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.7292, kappa: 0.2722, kb_relative_information_score: 14.4424, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7568, predictive_accuracy: 0.77, prior_entropy: 0.836, recall: 0.77, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9648, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6278, kappa: 0.0134, kb_relative_information_score: 2.5306, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6243, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9829, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.6161, kb_relative_information_score: 2.7051, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9784, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -10.5377, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6459, predictive_accuracy: 0.65, prior_entropy: 0.836, recall: 0.65, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.0247, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: -0.4127, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.09, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.6034, kappa: 0.1362, kb_relative_information_score: -48.5052, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6704, predictive_accuracy: 0.58, prior_entropy: 0.836, recall: 0.58, relative_absolute_error: 1.2667, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.1279, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.6334, kappa: 0.033, kb_relative_information_score: -48.4888, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6713, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 1.2638, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.1185, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7348, kappa: 0.292, kb_relative_information_score: 33.0278, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7374, predictive_accuracy: 0.76, prior_entropy: 0.836, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.1034, scimark_benchmark: 932.0242, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -7.1867, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0514, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.6793, kappa: 0.1649, kb_relative_information_score: 4.3066, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.672, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0627, scimark_benchmark: 1367.8403, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.668, kappa: 0.153, kb_relative_information_score: 10.1626, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6661, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0845, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6539, kappa: 0.081, kb_relative_information_score: -0.43, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6406, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0135, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1280.9225, usercpu_time_millis: 0.016, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1277.9549, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1287.971, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1282.9036, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.5155, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1307.718, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.5415, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1368.7576, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1354.9533, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1363.9289, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6749, kappa: 0.1266, kb_relative_information_score: 1.589, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6723, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.989, scimark_benchmark: 1274.3755, usercpu_time_millis: 19.128, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 19.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6161, kb_relative_information_score: -47.657, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 1.2567, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.1113, scimark_benchmark: 1312.2579, usercpu_time_millis: 116.74, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 116.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6334, kappa: 0.033, kb_relative_information_score: 7.9586, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6713, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9533, scimark_benchmark: 1305.1655, usercpu_time_millis: 178.029, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 177.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6161, kb_relative_information_score: -9.7162, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 1.0407, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9983, scimark_benchmark: 1285.3793, usercpu_time_millis: 204.119, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 204.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6893, kappa: 0.1651, kb_relative_information_score: 7.9574, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7035, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9397, scimark_benchmark: 1291.7781, usercpu_time_millis: 204.269, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 204.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.6676, kappa: 0.1126, kb_relative_information_score: 10.2529, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.9409, scimark_benchmark: 1311.4851, usercpu_time_millis: 263.278, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 263.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6334, kappa: 0.033, kb_relative_information_score: 8.0221, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6713, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9515, scimark_benchmark: 1308.233, usercpu_time_millis: 289.032, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 289.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 387.784, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 398.4692, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6389, kappa: 0.0532, kb_relative_information_score: 3.3343, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.8083, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9669, scimark_benchmark: 393.7082, usercpu_time_millis: 0.058, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 399.7118, usercpu_time_millis: 0.056, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6723, kappa: 0.1199, kb_relative_information_score: 4.5549, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6825, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9697, scimark_benchmark: 396.9024, usercpu_time_millis: 0.042, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6389, kappa: 0.0532, kb_relative_information_score: 3.1619, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.8083, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9683, scimark_benchmark: 399.5705, usercpu_time_millis: 0.042, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6161, kb_relative_information_score: 0.8552, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9967, scimark_benchmark: 383.2469, usercpu_time_millis: 0.039, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6723, kappa: 0.1199, kb_relative_information_score: 4.1251, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6825, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9729, scimark_benchmark: 377.0753, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 390.3953, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 395.3487, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 393.6511, usercpu_time_millis: 0.044, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.018,

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