OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7602, kappa: 0.5165, kb_relative_information_score: 0.5162, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7651, kappa: 0.5261, kb_relative_information_score: 0.527, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7541, kappa: 0.5058, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.5333, kappa: 0.0598, kb_relative_information_score: 0.0572, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5332, predictive_accuracy: 0.5335, prior_entropy: 0.9948, recall: 0.5335, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.683, root_relative_squared_error: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.4065, kappa: 0.0221, kb_relative_information_score: 0.0928, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6537, predictive_accuracy: 0.5511, prior_entropy: 0.9948, recall: 0.5511, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7373, kappa: 0.4705, kb_relative_information_score: 0.4694, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.4064, kappa: 0.0215, kb_relative_information_score: 0.0923, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6477, predictive_accuracy: 0.5508, prior_entropy: 0.9948, recall: 0.5508, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7789, kappa: 0.5539, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7793, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7744, kappa: 0.5448, kb_relative_information_score: 0.5459, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7728, kappa: 0.5415, kb_relative_information_score: 0.5426, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7228, kappa: 0.4422, kb_relative_information_score: 0.4494, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7315, predictive_accuracy: 0.7275, prior_entropy: 0.9948, recall: 0.7275, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.773, kappa: 0.5419, kb_relative_information_score: 0.5432, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7373, kappa: 0.4705, kb_relative_information_score: 0.4694, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7769, kappa: 0.55, kb_relative_information_score: 0.5502, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5063, kappa: 0.0055, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5063, predictive_accuracy: 0.5063, prior_entropy: 0.9948, recall: 0.5063, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7027, root_relative_squared_error: 1.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.7664, kappa: 0.5287, kb_relative_information_score: 0.5297, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7671, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.6981, kappa: 0.3913, kb_relative_information_score: 0.3907, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6979, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5491, root_relative_squared_error: 1.1022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.4695, kappa: 0.0839, kb_relative_information_score: 0.1434, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6656, predictive_accuracy: 0.5761, prior_entropy: 0.9948, recall: 0.5761, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6511, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.774, kappa: 0.5441, kb_relative_information_score: 0.5469, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7602, kappa: 0.5165, kb_relative_information_score: 0.5162, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.5378, kappa: 0.0681, kb_relative_information_score: 0.0675, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5374, predictive_accuracy: 0.5385, prior_entropy: 0.9948, recall: 0.5385, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6793, root_relative_squared_error: 1.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6757, kappa: 0.3466, kb_relative_information_score: 0.3449, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6756, predictive_accuracy: 0.6758, prior_entropy: 0.9948, recall: 0.6758, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 0.534, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.7118, kappa: 0.419, kb_relative_information_score: 0.4182, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7117, predictive_accuracy: 0.7121, prior_entropy: 0.9948, recall: 0.7121, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7602, kappa: 0.5165, kb_relative_information_score: 0.5162, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7749, kappa: 0.5461, kb_relative_information_score: 0.5459, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.6981, kappa: 0.3913, kb_relative_information_score: 0.3907, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6979, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5491, root_relative_squared_error: 1.1022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6888, kappa: 0.373, kb_relative_information_score: 0.3713, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6887, predictive_accuracy: 0.6889, prior_entropy: 0.9948, recall: 0.6889, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7744, kappa: 0.5448, kb_relative_information_score: 0.5459, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7645, kappa: 0.525, kb_relative_information_score: 0.5248, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7712, kappa: 0.5386, kb_relative_information_score: 0.5383, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9594,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5063, kappa: 0.0055, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5063, predictive_accuracy: 0.5063, prior_entropy: 0.9948, recall: 0.5063, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7027, root_relative_squared_error: 1.4104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7541, kappa: 0.5058, kb_relative_information_score: 0.513, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7769, kappa: 0.55, kb_relative_information_score: 0.5502, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.947,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7368, kappa: 0.4697, kb_relative_information_score: 1696.4805, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7313, kappa: 0.4594, kb_relative_information_score: 1662.3776, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7318, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7419, kappa: 0.4807, kb_relative_information_score: 1689.6758, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7424, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7315, kappa: 0.4588, kb_relative_information_score: 1679.4074, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7314, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7328, kappa: 0.4624, kb_relative_information_score: 1659.8302, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7332, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7314, kappa: 0.4593, kb_relative_information_score: 1592.3987, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7316, predictive_accuracy: 0.7313, prior_entropy: 0.9948, recall: 0.7313, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7415, kappa: 0.4794, kb_relative_information_score: 1533.4928, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7416, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7404, kappa: 0.478, kb_relative_information_score: 1715.5411, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7412, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.917,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs