Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 3019 Supervised Classification Australian 675 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7996, kappa: 0.5938, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7996, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7836, kappa: 0.5613, kb_relative_information_score: 347.6027, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7836, predictive_accuracy: 0.7841, prior_entropy: 0.9913, recall: 0.7841, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 167.5008, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8727, kappa: 0.7428, kb_relative_information_score: 457.9396, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8734, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8536, kappa: 0.7037, kb_relative_information_score: 447.2049, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8537, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8434, kappa: 0.6827, kb_relative_information_score: 470.1542, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8003, kappa: 0.5964, kb_relative_information_score: 408.1322, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8678, kappa: 0.7319, kb_relative_information_score: 446.3742, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6297, kappa: 0.2858, kb_relative_information_score: 233.4942, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7155, predictive_accuracy: 0.6681, prior_entropy: 0.9913, recall: 0.6681, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.824, kappa: 0.6428, kb_relative_information_score: 439.6506, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8246, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.871, kappa: 0.7389, kb_relative_information_score: 403.427, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8611, kappa: 0.7194, kb_relative_information_score: 425.517, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.786, kappa: 0.566, kb_relative_information_score: 381.8803, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7953, predictive_accuracy: 0.7899, prior_entropy: 0.9913, recall: 0.7899, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8475, kappa: 0.6906, kb_relative_information_score: 472.2303, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8477, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7173, kappa: 0.4351, kb_relative_information_score: 308.3607, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7549, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 422.6984, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8497, kappa: 0.6995, kb_relative_information_score: 395.8054, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8511, kappa: 0.7025, kb_relative_information_score: 397.9392, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 385.032, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.3061, kappa: 0.0076, kb_relative_information_score: -10.5232, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5495, predictive_accuracy: 0.4522, prior_entropy: 0.9913, recall: 0.4522, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 437.1153, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 452.1872, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8437, kappa: 0.6841, kb_relative_information_score: 434.3145, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8443, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8535, kappa: 0.7032, kb_relative_information_score: 434.0497, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8374, kappa: 0.6705, kb_relative_information_score: 418.7212, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8366, kappa: 0.6707, kb_relative_information_score: 399.5797, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8386, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 378.0361, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.841, kappa: 0.6797, kb_relative_information_score: 376.2242, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 466.6013, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 482.2031, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4304, f_measure: 0.3137, kappa: -0.1277, kb_relative_information_score: -162.8056, mean_absolute_error: 0.6072, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3614, predictive_accuracy: 0.3928, prior_entropy: 0.9913, recall: 0.3928, relative_absolute_error: 1.2294, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7793, root_relative_squared_error: 1.5681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8406, kappa: 0.6772, kb_relative_information_score: 466.0871, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8406, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.2828, kappa: 0.0041, kb_relative_information_score: -10.8886, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6148, predictive_accuracy: 0.4478, prior_entropy: 0.9913, recall: 0.4478, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8683, kappa: 0.7341, kb_relative_information_score: 503.855, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8557, kappa: 0.7072, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8573, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6578, kappa: 0.3115, kb_relative_information_score: 113.4378, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6758, predictive_accuracy: 0.671, prior_entropy: 0.9913, recall: 0.671, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 444.1073, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8597, kappa: 0.7168, kb_relative_information_score: 435.3119, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8513, kappa: 0.6982, kb_relative_information_score: 459.8009, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.853, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8544, kappa: 0.7045, kb_relative_information_score: 455.4354, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.852, kappa: 0.6999, kb_relative_information_score: 473.9591, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8463, kappa: 0.6888, kb_relative_information_score: 460.924, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8044, kappa: 0.604, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8044, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8044, kappa: 0.604, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8044, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8044, kappa: 0.604, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8044, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8044, kappa: 0.604, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8044, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.854, kappa: 0.706, kb_relative_information_score: 436.959, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8567, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7671, kappa: 0.5275, kb_relative_information_score: 304.1394, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7747, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 431.6527, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6297, kappa: 0.2858, kb_relative_information_score: 233.4942, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7155, predictive_accuracy: 0.6681, prior_entropy: 0.9913, recall: 0.6681, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8003, kappa: 0.5964, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8489, kappa: 0.6937, kb_relative_information_score: 447.2895, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8491, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8678, kappa: 0.7319, kb_relative_information_score: 446.3742, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8541, kappa: 0.7079, kb_relative_information_score: 325.8474, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6921, scimark_benchmark: 1717.3481, usercpu_time_millis: 8170, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 429.1179, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6199, scimark_benchmark: 1760.9388, usercpu_time_millis: 1450, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1697.6783, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8597, kappa: 0.7168, kb_relative_information_score: 420.4638, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6402, scimark_benchmark: 1361.3243, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987, scimark_benchmark: 901.458, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8555, kappa: 0.7096, kb_relative_information_score: 414.5694, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8596, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6582, scimark_benchmark: 928.0494, usercpu_time_millis: 210, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8335, kappa: 0.6631, kb_relative_information_score: 402.6937, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8337, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7133, scimark_benchmark: 937.8851, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8482, kappa: 0.694, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8501, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785, scimark_benchmark: 1397.3322, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1386.3527, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1661.3574, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8497, kappa: 0.697, kb_relative_information_score: 462.7945, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8518, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6866, scimark_benchmark: 1918.4916, usercpu_time_millis: 3750, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8581, kappa: 0.7132, kb_relative_information_score: 420.6135, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7016, scimark_benchmark: 1931.8468, usercpu_time_millis: 3718.75, usercpu_time_millis_training: 3718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 1854.0453, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 1742.8208, 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: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1377.4309, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8511, kappa: 0.7, kb_relative_information_score: 458.2002, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8534, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6843, scimark_benchmark: 1416.417, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987, scimark_benchmark: 1356.296, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1189.619, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 420.9222, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6902, scimark_benchmark: 1744.8652, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8597, kappa: 0.7168, kb_relative_information_score: 435.3955, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6384, 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: 0.7992, f_measure: 0.8003, kappa: 0.5964, kb_relative_information_score: 408.1322, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8985, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 446.5977, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6291, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8466, kappa: 0.69, kb_relative_information_score: 397.8023, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8472, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7184, 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: 0.9149, f_measure: 0.8555, kappa: 0.709, kb_relative_information_score: 441.6282, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8583, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.653, 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: 0.9373, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 433.4633, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6137, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7671, kappa: 0.5275, kb_relative_information_score: 304.1394, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7747, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9131, 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: 0.8598, f_measure: 0.8505, kappa: 0.6969, kb_relative_information_score: 444.8537, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8505, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7217, 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: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987, 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: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, 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: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, 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: 0.8887, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 420.9104, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6903, scimark_benchmark: 1744.8652, usercpu_time_millis: 359.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8597, kappa: 0.7168, kb_relative_information_score: 435.3955, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6384, 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: 0.7992, f_measure: 0.8003, kappa: 0.5964, kb_relative_information_score: 408.1322, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8985, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 446.5977, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6291, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8655, kappa: 0.729, kb_relative_information_score: 418.9292, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8675, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6758, 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: 0.9149, f_measure: 0.8555, kappa: 0.709, kb_relative_information_score: 441.6282, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8583, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.653, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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