Task
Supervised Classification on space_ga

Supervised Classification on space_ga

Task 3603 Supervised Classification space_ga 544 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1302.8765, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7634, predictive_accuracy: 0.7628, prior_entropy: 1, recall: 0.7628, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8316, kappa: 0.6633, kb_relative_information_score: 1630.2102, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8318, predictive_accuracy: 0.8317, prior_entropy: 1, recall: 0.8317, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7542, kappa: 0.5102, kb_relative_information_score: 996.7442, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7594, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8044, kappa: 0.609, kb_relative_information_score: 1471.6386, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8059, predictive_accuracy: 0.8046, prior_entropy: 1, recall: 0.8046, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7238, kappa: 0.4508, kb_relative_information_score: 835.533, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7316, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 1723.5647, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8264, predictive_accuracy: 0.8259, prior_entropy: 1, recall: 0.8259, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8268, kappa: 0.6536, kb_relative_information_score: 2003.3438, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8269, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7615, kappa: 0.5239, kb_relative_information_score: 1275.1881, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7637, predictive_accuracy: 0.7618, prior_entropy: 1, recall: 0.7618, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.5703, kappa: 0.1407, kb_relative_information_score: 461.2111, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.5704, predictive_accuracy: 0.5703, prior_entropy: 1, recall: 0.5703, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6467, root_relative_squared_error: 1.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5774, kappa: 0.1549, kb_relative_information_score: 516.5737, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.5776, predictive_accuracy: 0.5774, prior_entropy: 1, recall: 0.5774, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7284, kappa: 0.4571, kb_relative_information_score: 936.5041, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7292, predictive_accuracy: 0.7287, prior_entropy: 1, recall: 0.7287, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7287, kappa: 0.4599, kb_relative_information_score: 835.5303, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7349, predictive_accuracy: 0.7303, prior_entropy: 1, recall: 0.7303, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8232, kappa: 0.6465, kb_relative_information_score: 1694.3824, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8237, predictive_accuracy: 0.8233, prior_entropy: 1, recall: 0.8233, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7955, kappa: 0.5916, kb_relative_information_score: 1835.9992, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7982, predictive_accuracy: 0.7959, prior_entropy: 1, recall: 0.7959, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8275, kappa: 0.6549, kb_relative_information_score: 1704.5683, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8275, predictive_accuracy: 0.8275, prior_entropy: 1, recall: 0.8275, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8176, kappa: 0.6354, kb_relative_information_score: 1203.2263, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8191, predictive_accuracy: 0.8178, prior_entropy: 1, recall: 0.8178, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3378, kb_relative_information_score: -0.0024, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 1731.3705, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8264, predictive_accuracy: 0.8259, prior_entropy: 1, recall: 0.8259, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6849, kappa: 0.3697, kb_relative_information_score: 826.2786, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6849, predictive_accuracy: 0.6849, prior_entropy: 1, recall: 0.6849, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7331, kappa: 0.4663, kb_relative_information_score: 1186.7615, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7332, predictive_accuracy: 0.7332, prior_entropy: 1, recall: 0.7332, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7362, kappa: 0.4746, kb_relative_information_score: 1027.0127, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7409, predictive_accuracy: 0.737, prior_entropy: 1, recall: 0.737, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7972, kappa: 0.5944, kb_relative_information_score: 1541.6571, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7972, predictive_accuracy: 0.7972, prior_entropy: 1, recall: 0.7972, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1031.182, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8049, kappa: 0.6103, kb_relative_information_score: 1537.4662, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8073, predictive_accuracy: 0.8053, prior_entropy: 1, recall: 0.8053, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7968, kappa: 0.5947, kb_relative_information_score: 1848.8825, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.801, predictive_accuracy: 0.7976, prior_entropy: 1, recall: 0.7976, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1031.1533, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8442, kappa: 0.6884, kb_relative_information_score: 1748.0125, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 1, recall: 0.8442, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7118, kappa: 0.4241, kb_relative_information_score: 1037.6724, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7126, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7252, kappa: 0.4507, kb_relative_information_score: 1400.8407, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7259, predictive_accuracy: 0.7255, prior_entropy: 1, recall: 0.7255, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.524, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.7239, kappa: 0.4481, kb_relative_information_score: 1392.8399, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7246, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7972, kappa: 0.5944, kb_relative_information_score: 1541.6571, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7972, predictive_accuracy: 0.7972, prior_entropy: 1, recall: 0.7972, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1031.1533, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7905, kappa: 0.581, kb_relative_information_score: 1804.8783, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7908, predictive_accuracy: 0.7905, prior_entropy: 1, recall: 0.7905, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7905, kappa: 0.581, kb_relative_information_score: 1804.8783, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7908, predictive_accuracy: 0.7905, prior_entropy: 1, recall: 0.7905, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7905, kappa: 0.581, kb_relative_information_score: 1804.8783, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7908, predictive_accuracy: 0.7905, prior_entropy: 1, recall: 0.7905, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7905, kappa: 0.581, kb_relative_information_score: 1804.8783, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7908, predictive_accuracy: 0.7905, prior_entropy: 1, recall: 0.7905, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3289, kb_relative_information_score: -0.2912, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.246, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8316, kappa: 0.6634, kb_relative_information_score: 1683.6008, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8321, predictive_accuracy: 0.8317, prior_entropy: 1, recall: 0.8317, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7824, kappa: 0.5648, kb_relative_information_score: 1754.8737, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7824, predictive_accuracy: 0.7824, prior_entropy: 1, recall: 0.7824, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1697.6783, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 343.75, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1862.8608, usercpu_time_millis: 5812.5, usercpu_time_millis_testing: 2843.75, usercpu_time_millis_training: 2968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1351.6983, usercpu_time_millis: 1430, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1691.2331, usercpu_time_millis: 8400, usercpu_time_millis_testing: 4250, usercpu_time_millis_training: 4150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.843, kappa: 0.6863, kb_relative_information_score: 1723.0515, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8449, predictive_accuracy: 0.8433, prior_entropy: 1, recall: 0.8433, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6913, scimark_benchmark: 1918.4916, usercpu_time_millis: 7406.25, usercpu_time_millis_training: 7406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8403, kappa: 0.6806, kb_relative_information_score: 1781.1646, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8406, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6919, scimark_benchmark: 1918.4916, usercpu_time_millis: 7250, usercpu_time_millis_training: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 24.7123, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 1827.4462, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.5419, kappa: 0.0842, kb_relative_information_score: 260.7343, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.5422, predictive_accuracy: 0.542, prior_entropy: 1, recall: 0.542, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3536, scimark_benchmark: 1827.4462, usercpu_time_millis: 4468.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 4312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8626, kappa: 0.7251, kb_relative_information_score: 1962.3202, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 1, recall: 0.8626, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6506, scimark_benchmark: 1341.7092, usercpu_time_millis: 2180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8409, kappa: 0.6819, kb_relative_information_score: 1744.6189, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8414, predictive_accuracy: 0.841, prior_entropy: 1, recall: 0.841, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6916, scimark_benchmark: 1871.4229, usercpu_time_millis: 687.5, usercpu_time_millis_training: 687.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1031.1533, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8571, scimark_benchmark: 1433.7882, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8417, kappa: 0.6837, kb_relative_information_score: 1727.7995, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8442, predictive_accuracy: 0.842, prior_entropy: 1, recall: 0.842, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6877, scimark_benchmark: 1393.9459, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7972, kappa: 0.5954, kb_relative_information_score: 1850.8826, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8013, predictive_accuracy: 0.7979, prior_entropy: 1, recall: 0.7979, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8992, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.824, kappa: 0.6483, kb_relative_information_score: 2014.8979, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.826, predictive_accuracy: 0.8243, prior_entropy: 1, recall: 0.8243, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8384, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.837, kappa: 0.6741, kb_relative_information_score: 1684.7254, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8379, predictive_accuracy: 0.8371, prior_entropy: 1, recall: 0.8371, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6913, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7953, kappa: 0.5905, kb_relative_information_score: 1833.9358, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7954, predictive_accuracy: 0.7953, prior_entropy: 1, recall: 0.7953, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9046, scimark_benchmark: 1744.8652, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7907, kappa: 0.5814, kb_relative_information_score: 1332.9184, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7911, predictive_accuracy: 0.7908, prior_entropy: 1, recall: 0.7908, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 1744.8652, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1483.9744, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8106, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7827, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7966, kappa: 0.5932, kb_relative_information_score: 1515.5053, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7968, predictive_accuracy: 0.7966, prior_entropy: 1, recall: 0.7966, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7979, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8468, kappa: 0.6935, kb_relative_information_score: 1744.9244, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8468, predictive_accuracy: 0.8468, prior_entropy: 1, recall: 0.8468, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6782, scimark_benchmark: 1744.8652, usercpu_time_millis: 1078.125, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7238, kappa: 0.4508, kb_relative_information_score: 835.533, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7316, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7988, kappa: 0.5976, kb_relative_information_score: 1551.0669, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7988, predictive_accuracy: 0.7988, prior_entropy: 1, recall: 0.7988, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7956, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1031.1533, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8571, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7968, kappa: 0.5947, kb_relative_information_score: 1848.8825, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.801, predictive_accuracy: 0.7976, prior_entropy: 1, recall: 0.7976, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8999, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.824, kappa: 0.6483, kb_relative_information_score: 2014.8979, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.826, predictive_accuracy: 0.8243, prior_entropy: 1, recall: 0.8243, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8384, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8417, kappa: 0.6837, kb_relative_information_score: 1727.802, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8442, predictive_accuracy: 0.842, prior_entropy: 1, recall: 0.842, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6877, scimark_benchmark: 1744.8652, usercpu_time_millis: 796.875, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.837, kappa: 0.6741, kb_relative_information_score: 1684.7254, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8379, predictive_accuracy: 0.8371, prior_entropy: 1, recall: 0.8371, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6913, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7953, kappa: 0.5905, kb_relative_information_score: 1833.9358, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7954, predictive_accuracy: 0.7953, prior_entropy: 1, recall: 0.7953, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9046, scimark_benchmark: 1744.8652, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 328.125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7907, kappa: 0.5814, kb_relative_information_score: 1332.9184, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7911, predictive_accuracy: 0.7908, prior_entropy: 1, recall: 0.7908, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 1744.8652, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7975, kappa: 0.595, kb_relative_information_score: 1447.1664, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7978, predictive_accuracy: 0.7976, prior_entropy: 1, recall: 0.7976, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7943, scimark_benchmark: 1744.8652, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7998, kappa: 0.5997, kb_relative_information_score: 1541.8113, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8, predictive_accuracy: 0.7998, prior_entropy: 1, recall: 0.7998, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7882, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8403, kappa: 0.6807, kb_relative_information_score: 1737.7954, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8404, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6808, scimark_benchmark: 1744.8652, usercpu_time_millis: 1218.75, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7238, kappa: 0.4508, kb_relative_information_score: 835.533, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7316, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7985, kappa: 0.597, kb_relative_information_score: 1549.1173, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7985, predictive_accuracy: 0.7985, prior_entropy: 1, recall: 0.7985, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7965, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.837, kappa: 0.6741, kb_relative_information_score: 1684.7254, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8379, predictive_accuracy: 0.8371, prior_entropy: 1, recall: 0.8371, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6913, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7907, kappa: 0.5814, kb_relative_information_score: 1332.9184, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7911, predictive_accuracy: 0.7908, prior_entropy: 1, recall: 0.7908, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 1788.6668, usercpu_time_millis: 828.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8417, kappa: 0.6837, kb_relative_information_score: 1732.9817, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8442, predictive_accuracy: 0.842, prior_entropy: 1, recall: 0.842, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6874, scimark_benchmark: 1788.6668, usercpu_time_millis: 718.75, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7334, kappa: 0.4707, kb_relative_information_score: 1107.8592, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7432, predictive_accuracy: 0.7358, prior_entropy: 1, recall: 0.7358, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8263, scimark_benchmark: 1788.6668, usercpu_time_millis: 250, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7473, kappa: 0.495, kb_relative_information_score: 1006.759, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7488, predictive_accuracy: 0.7477, prior_entropy: 1, recall: 0.7477, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8584, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.731, kappa: 0.4622, kb_relative_information_score: 931.7966, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7318, predictive_accuracy: 0.7313, prior_entropy: 1, recall: 0.7313, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8575, scimark_benchmark: 1788.6668, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7282, kappa: 0.4565, kb_relative_information_score: 904.5561, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7285, predictive_accuracy: 0.7284, prior_entropy: 1, recall: 0.7284, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8559, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.7316, kappa: 0.4635, kb_relative_information_score: 1440.8444, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7325, predictive_accuracy: 0.7319, prior_entropy: 1, recall: 0.7319, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0356, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7968, kappa: 0.5947, kb_relative_information_score: 1848.8825, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.801, predictive_accuracy: 0.7976, prior_entropy: 1, recall: 0.7976, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8999, scimark_benchmark: 1194.11, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8044, kappa: 0.609, kb_relative_information_score: 1471.6386, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8059, predictive_accuracy: 0.8046, prior_entropy: 1, recall: 0.8046, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7863, scimark_benchmark: 1359.6774, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7473, kappa: 0.4948, kb_relative_information_score: 1219.5773, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7476, predictive_accuracy: 0.7473, prior_entropy: 1, recall: 0.7473, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8303, scimark_benchmark: 1860.4354, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 406.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.6635, kappa: 0.3464, kb_relative_information_score: 1138.5189, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6948, predictive_accuracy: 0.6724, prior_entropy: 1, recall: 0.6724, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9753, scimark_benchmark: 1840.6094, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7857, kappa: 0.5765, kb_relative_information_score: 1764.4199, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8019, predictive_accuracy: 0.7879, prior_entropy: 1, recall: 0.7879, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7918, scimark_benchmark: 1840.6094, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8207, kappa: 0.6415, kb_relative_information_score: 1605.3883, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8209, predictive_accuracy: 0.8207, prior_entropy: 1, recall: 0.8207, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7203, scimark_benchmark: 1873.1108, usercpu_time_millis: 593.75, usercpu_time_millis_testing: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7325, kappa: 0.4649, kb_relative_information_score: 1186.8186, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7326, predictive_accuracy: 0.7325, prior_entropy: 1, recall: 0.7325, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8717, scimark_benchmark: 1873.1108, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 1731.3705, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8264, predictive_accuracy: 0.8259, prior_entropy: 1, recall: 0.8259, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7215, scimark_benchmark: 1873.1108, usercpu_time_millis: 515.625, usercpu_time_millis_testing: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7945, kappa: 0.5891, kb_relative_information_score: 1830.8808, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7955, predictive_accuracy: 0.7947, prior_entropy: 1, recall: 0.7947, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.809, kappa: 0.6181, kb_relative_information_score: 1920.8892, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8097, predictive_accuracy: 0.8091, prior_entropy: 1, recall: 0.8091, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8259, kappa: 0.6517, kb_relative_information_score: 2024.8989, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.826, predictive_accuracy: 0.8259, prior_entropy: 1, recall: 0.8259, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.8436, kappa: 0.6871, kb_relative_information_score: 2134.9091, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8436, predictive_accuracy: 0.8436, prior_entropy: 1, recall: 0.8436, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.791,

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