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: 0.5302, build_cpu_time: 0.015, build_memory: 73087408, 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: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, build_cpu_time: 0.004, build_memory: 1265633480, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 4.3831, mean_absolute_error: 0.3598, 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: 0.9167, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9794, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, build_cpu_time: 0.001, build_memory: 865549328, 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: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, build_cpu_time: 0.007, build_memory: 661438336, f_measure: 0.6312, kappa: 0.0132, kb_relative_information_score: -10.2654, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6119, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0791, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, build_cpu_time: 0.003, build_memory: 897919024, f_measure: 0.6312, kappa: 0.0132, kb_relative_information_score: -10.2654, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6119, predictive_accuracy: 0.67, prior_entropy: 0.836, recall: 0.67, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0791, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, build_cpu_time: 0.005, build_memory: 137179848, 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: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, build_memory: 722325456, 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: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 57117456, 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: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 702810544, 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: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 705385808, f_measure: 0.6161, kb_relative_information_score: 0.1957, mean_absolute_error: 0.3916, 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: 0.9979, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 865724928, f_measure: 0.6161, kb_relative_information_score: 0.1957, mean_absolute_error: 0.3916, 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: 0.9979, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, build_cpu_time: 0.065, build_memory: 2406803544, f_measure: 0.6161, kb_relative_information_score: 3.2008, mean_absolute_error: 0.3577, 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: 0.9114, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9874, scimark_benchmark: 942.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, build_cpu_time: 0.177, build_memory: 256076304, f_measure: 0.6821, kappa: 0.1456, kb_relative_information_score: 25.4711, mean_absolute_error: 0.274, 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: 0.6981, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.0073, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, build_cpu_time: 0.08, build_memory: 1092833480, f_measure: 0.6907, kappa: 0.1697, kb_relative_information_score: 16.3029, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6908, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0919, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, build_cpu_time: 0.085, build_memory: 421466592, f_measure: 0.6907, kappa: 0.1697, kb_relative_information_score: 16.3029, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6908, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0919, scimark_benchmark: 904.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, build_cpu_time: 0.147, build_memory: 280163848, f_measure: 0.6893, kappa: 0.1651, kb_relative_information_score: 16.6563, mean_absolute_error: 0.3055, 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: 0.7784, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.069, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, build_cpu_time: 0.136, build_memory: 829912880, f_measure: 0.6893, kappa: 0.1651, kb_relative_information_score: 16.6563, mean_absolute_error: 0.3055, 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: 0.7784, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.069, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, build_cpu_time: 0.431, build_memory: 622371424, f_measure: 0.6605, kappa: 0.1046, kb_relative_information_score: 18.3245, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.8138, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0636, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, build_cpu_time: 0.88, build_memory: 993863464, f_measure: 0.6389, kappa: 0.0532, kb_relative_information_score: 18.527, mean_absolute_error: 0.3028, 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: 0.7714, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0687, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, build_cpu_time: 0.084, build_memory: 1521703264, f_measure: 0.6535, kappa: 0.073, kb_relative_information_score: -1.7477, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6397, predictive_accuracy: 0.69, prior_entropy: 0.836, recall: 0.69, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.007, scimark_benchmark: 945.7067,
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: 0.6093, build_cpu_time: 0.009, build_memory: 837552864, f_measure: 0.676, kappa: 0.1688, kb_relative_information_score: -1.8322, mean_absolute_error: 0.3669, 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: 0.9349, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1251, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, build_cpu_time: 0.009, build_memory: 800612176, f_measure: 0.676, kappa: 0.1688, kb_relative_information_score: -1.8322, mean_absolute_error: 0.3669, 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: 0.9349, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1251, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, build_cpu_time: 0.068, build_memory: 186968144, f_measure: 0.6835, kappa: 0.2067, kb_relative_information_score: -1.1262, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6875, predictive_accuracy: 0.68, prior_entropy: 0.836, recall: 0.68, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.102, scimark_benchmark: 917.0415,
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: 0.6618, 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: 0.6608, 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: 0.6563, 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: 0.6431, 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: 0.6629, 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: 0.6629, 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: 0.653, 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: 0.6898, 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: 0.6898, 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: 0.6591, 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: 0.6591, 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: 0.6684, 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: 0.6684, 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: 0.6872, 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: 0.6555, 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: 0.6565, 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: 0.6492, 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: 0.6682, 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: 0.7007, 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: 0.6999, 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: 0.6989, build_cpu_time: 0.008, build_memory: 140621320, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: 6.3618, mean_absolute_error: 0.353, 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: 0.8995, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9585, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 0.017, build_memory: 18262352, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: 6.3618, mean_absolute_error: 0.353, 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: 0.8995, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9585, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 0.013, build_memory: 52681896, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: 6.3618, mean_absolute_error: 0.353, 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: 0.8995, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9585, scimark_benchmark: 895.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 0.016, build_memory: 48551440, f_measure: 0.6965, kappa: 0.1851, kb_relative_information_score: 6.3618, mean_absolute_error: 0.353, 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: 0.8995, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9585, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, build_cpu_time: 0.348, build_memory: 1846682136, f_measure: 0.6821, kappa: 0.1456, kb_relative_information_score: 22.3067, mean_absolute_error: 0.2823, 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: 0.7193, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.1136, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, build_cpu_time: 0.003, build_memory: 2666075768, f_measure: 0.6545, kappa: 0.0735, kb_relative_information_score: 4.3282, mean_absolute_error: 0.3579, 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: 0.912, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9675, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, build_cpu_time: 0.002, build_memory: 1841774568, f_measure: 0.648, kappa: 0.0548, kb_relative_information_score: 2.5333, mean_absolute_error: 0.3614, 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: 0.9209, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9761, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, build_cpu_time: 0.684, build_memory: 24123136, f_measure: 0.6321, kappa: 0.0722, kb_relative_information_score: -2.8216, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6343, predictive_accuracy: 0.63, prior_entropy: 0.836, recall: 0.63, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0461, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, build_cpu_time: 2.88, build_memory: 126727360, f_measure: 0.6278, kappa: 0.0503, kb_relative_information_score: -3.0501, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6256, predictive_accuracy: 0.63, prior_entropy: 0.836, recall: 0.63, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0461, scimark_benchmark: 885.2271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, build_cpu_time: 4.895, build_memory: 133675560, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -3.8835, mean_absolute_error: 0.3742, 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: 0.9533, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0377, scimark_benchmark: 938.4414,
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: 0.6565, build_cpu_time: 21.833, build_memory: 831524672, f_measure: 0.6479, kappa: 0.1016, kb_relative_information_score: -4.07, mean_absolute_error: 0.3754, 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: 0.9564, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0348, scimark_benchmark: 897.921,
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: 0.6309, build_cpu_time: 0.215, build_memory: 1438413472, f_measure: 0.6246, kappa: 0.018, kb_relative_information_score: 1.3796, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6131, predictive_accuracy: 0.64, prior_entropy: 0.836, recall: 0.64, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5794, root_relative_squared_error: 1.3049, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, build_cpu_time: 0.111, build_memory: 75845080, f_measure: 0.618, kappa: -0.0073, kb_relative_information_score: 0.3191, mean_absolute_error: 0.3548, 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: 0.9041, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5808, root_relative_squared_error: 1.3083, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, build_cpu_time: 0.098, build_memory: 98477160, f_measure: 0.618, kappa: -0.0073, kb_relative_information_score: 0.3191, mean_absolute_error: 0.3548, 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: 0.9041, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5808, root_relative_squared_error: 1.3083, scimark_benchmark: 944.7154,
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: 0.6575, 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: 0.6598, 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: 0.6484, build_cpu_time: 0.071, build_memory: 8553280, f_measure: 0.6831, kappa: 0.156, kb_relative_information_score: 2.6325, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6743, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0195, scimark_benchmark: 943.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, build_cpu_time: 0.058, build_memory: 85686088, f_measure: 0.6906, kappa: 0.174, kb_relative_information_score: 2.0127, mean_absolute_error: 0.3602, 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: 0.9179, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0264, scimark_benchmark: 934.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, build_cpu_time: 0.026, build_memory: 1173618832, f_measure: 0.6464, kappa: 0.056, kb_relative_information_score: 0.7356, mean_absolute_error: 0.3634, 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: 0.9259, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.0267, scimark_benchmark: 884.5727,
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: 0.5, build_cpu_time: 0.001, build_memory: 1476287296, 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: 947.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 1260374520, 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: 900.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 1632020896, 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: 946.4842,
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: 915.4899,

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